Target color recipes

ABSTRACT

An apparatus for generating target color recipes includes a controller ( 202 ) using test chart data ( 100 ) including first and second sets of test patches to generate a flexible color model ( 214 ) for accurately predicting color response throughout the printer colorant space. The first set of test patches includes mostly patches distributed throughout colorant space. The second set of patches includes mostly patches in selected colorant space areas and with limitations on the number of chromatic colorants with non-zero tints. The controller generates recipes for target colors using the model generated after one measurement iteration.

FIELD OF THE INVENTION

The present invention pertains to color printing and in particular todeveloping process colorant recipes for printing spot colors.

BACKGROUND OF THE INVENTION

Printing devices are typically configured with a set of colorants, e.g.inks, pigments, and the like. The term “process colorants” usuallyrefers to a set of colorants including three chromatic colorants (e.g.cyan, magenta, and yellow) and an achromatic colorant (e.g. black)because a wide range of target colors can be obtained by printingcombinations of these colorants, each with varying tonality.

Some printing devices can be configured with additional colorants forvarious reasons. In some situations, process colorants with lighter ordarker densities can be added to improve the colorant tonal granularityand/or the printer gamut and/or smoothness in tonal transitions. Inother situations, additional process colorants (e.g. orange, green, andblue) can be added to increase the printer gamut. In still othersituations, spot colorants can be added to achieve a specific effect,such as to exactly match a target color or to provide a desired effect(e.g. gloss).

Use of additional spot colorants to match a target color is particularlywidespread in the printing of commercial product packaging where brandcolor accuracy is crucial. However, the use of spot colorants increasesthe complexity and costs associated with printing equipment andprocesses. It is desirable to minimize the use of spot colorants butthere are some barriers to the use of process colorant recipes fortarget colors.

For some target colors, the printer gamut may not be large enough toenable the target color to be printed. This can usually be overcome bychanging the process colorant formulations (e.g. more vivid colorants)or by adding process colorants to extend the printer gamut (e.g.Hexachrome® colorant set).

For target colors that lie within the printer gamut, prior art methodsand systems for characterizing a printing device color response can be abarrier to determining accurate target color recipes. One problemrelates to the granularity of test data used for characterization of theprinter. In general, characterization chart patches are relativelysparsely distributed throughout colorant space. A primary reason forthis is to reduce the number of samples that must be measured.

Once test patches have been measured a color model is typically createdso that a device-independent color (e.g. CIELAB coordinate) can bepredicted for an arbitrary combination of colorant tint values, andsimilarly a colorant combination can be predicted to achieve a targetcolor. Use of parametric models and interpolation between measuredvalues is known in the art for mapping between colorant and colorcoordinates that do not have a measurement basis. However, colormodeling techniques can produce poor target color recipes due to thecoarseness of the test data and nonlinear characteristics of a printer'scolor response.

Standard charts are widely employed in commercial printing. Twoexemplary standards include the IT8 standard specified by the AmericanNational Standards Institute and the ECI2002 standard specified by theEuropean Color Initiative. Many of the test patches defined by the newerversions of both standards have identical colorant combinations.

The IT8 standard provides a range of recommendations. For example, theIT8.7/3 recommendation defines the use of 182 color patches (basic set)and 982 color patches (extended set) to characterize a printer. Thenewer IT8.7/4 recommendation defines the use of 1617 color patches (withsome replicates) to provide a more fine-grained characterization. The1588 unique IT8.7/4 patches can be categorized as: single colorantpatches (84), two colorant combination patches (288), three colorantcombinations (818), and four colorant combinations (398). Singlecolorant patches provide the finest granularity of sampling with 21somewhat uniform tonality steps.

Two colorant patches can be further categorized into purely chromaticpatches (204) and those including black colorant (84). Approximately 8tone steps (8 steps*8 steps*3 combinations=192) are used for eachcolorant in the purely chromatic patches. Approximately 5 tone steps(5*5*3=75) are used for each colorant in the two colorant patchesincluding black colorant. The actual number of tone steps for a colorantvaries somewhat dependent on the colorant and the position of theassociated colorant combination within the colorant space of theprinter. For example, some additional tone steps are added in thehighlights for some colorants.

Three colorant patches have distribution granularity similar to twocolorant patches with 527 purely chromatic patches and 84 patches thatinclude black colorant. Approximately 8 tone steps (8*8*8=512) are usedfor each colorant in purely chromatic patches. Approximately 5 tonesteps (5*5*5*3=375) are used for each colorant in the three colorantpatches including black colorant.

Four colorant patches use approximately 4-5 tone steps (4*4*5*5=400) foreach colorant. Thus, it is clear to see that the granularity of colorantcombination patches for the newer standard test charts is quite largeand the color model data derived from measuring these patches can be aproblem when determining target color recipes.

Having two few samples in nonlinear regions of a printer's gamut canincrease the error in color accuracy prediction. Further, differentregions of a printer's gamut can have very different nonlinearcharacteristics making the use of parametric models difficult to providethe desired accuracy with coarse characterization data.

Some prior art systems overcome these limitations by developing separatelocalized models in the region corresponding to a desired target color.One example includes U.S. Publication No. 2008/0130022 (Dalal et al.).Dalal et al. teaches developing a set of color models, one for generaluse throughout the gamut and one for each region of interest such asnear a target color. An initial target color recipe is printed andmeasured. Dalal et al. teaches developing a local model in the vicinityof the color measured for the initial recipe with the model using aweighting of the neighboring color measurements to compensate for localnonlinearities. This method can be very time consuming and complex whena significant number of target colors is desired (e.g. some Pantone®libraries specify between 1000 and 3000 colors).

Other examples include U.S. Publication No. 2009/0296113 (Mestha et al.)and U.S. Publication No. 2008/0043271 (Gil et al.). Mestha et al.teaches a similar approach where the error of a color reproduced for aninitial target recipe is reduced by selecting a linear gain matrix thatmodels the local color response of the printer. U.S. Pat. No. 6,919,972(Kumada et al.) teaches a similar approach with target colorinterpolation improved by localized weighting of neighboring measureddata.

Some prior art teaches improving the accuracy of target color recipes byutilizing a larger set of test patches. For example, an extremely finegrained characterization of the printer gamut would enable traditionalmodeling techniques to overcome many of the nonlinear color responseprediction errors. However, this is widely viewed as impractical becauseof increased measurement and computing resources requirements. A similarexample includes U.S. Publication No. 2010/0189348 (Dalal et al.), whichteaches using two sets of characterization measurements separated bytime (and presumably by drift in response) to adjust an initial targetcolor recipe based on the two sets of characterization data.

Other prior art systems teach different approaches. One example is U.S.Publication No. 2009/0251712 (Wang et al.). Wang et al. teaches using aminimal number of patches (less than 20) for each of a set of sub-gamuts(e.g. CMY, MYK, CYK, and CMK) to build a linear sensitivity model ofeach sub-gamut's color to changes in the corresponding colorantcoordinates. Wang et al. does not appear to teach how such a collectionof sub-gamut sensitivity models can be used to identify a target colorrecipe.

A need exists, therefore, to reduce the time and resources required forcharacterizing a printer and developing accurate target color recipesfor that printer.

SUMMARY OF THE INVENTION

Briefly, according to one embodiment of the present invention anapparatus for identifying target color recipes for a printer comprises:a receiver for identifying a set of target colors to be printed; theprinter configured with a plurality of process colorants; a test chartgenerator operative to specify test patches, with each test patchidentifying a combination of process colorant tint values; a colormeasurement device operative to measure device-independent colorcoordinates of printed test patches; and a controller operative togenerate a test chart including first and second sets of test patches,operate the printer to produce a printed test chart, measure the colorof printed test patches, generate a model of the printer color responsein one iteration of measuring test patch colors, and create colorantcombination recipes for the set of target colorants based on targetcolor coordinates and the color model.

According to one aspect of the invention, the controller selects thefirst set of test patches to provide a first degree of characterizationof the printer with the patches distributed throughout substantially theentire printer gamut. Furthermore, the controller selects the second setof patches to provide a second degree of characterization of the printerwith the patches distributed in selected areas of the printer gamut.

By selecting a modest quantity of test patches with specificcharacteristics and ensuring that the color model has sufficientflexibility to accurately predict nonlinear color responses, the targetcolor recipes can be accurately predicted with a single characterizationand without having initial target color recipes.

These and other aspects of the present invention are illustrated in thedetailed description of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed incolor. Copies of this patent or patent application publication withcolor drawing(s) will be provided by the Office upon request and paymentof the necessary fee.

FIGS. 1A and 1B are diagrams illustrating a standard prior art testchart.

FIG. 2 is a diagram illustrating another standard prior art test chart.

FIG. 3 is a diagram illustrating an exemplary apparatus according to thepresent invention.

FIGS. 4A-4D are diagrams illustrating an exemplary test chart accordingto the present invention.

DETAILED DESCRIPTION OF THE INVENTION

FIGS. 1A, 1B, and 2 are diagrams illustrating standardized prior arttest charts used to characterize color responses of printing deviceshaving four process colorants.

FIG. 1A depicts an exemplary visual representation of test chart 100consistent with the 2002 recommendation of the European Color Initiativefor characterizing the color response of four process colorant printingdevices. Chart 100 includes approximately 1,485 test patches (1,457distinct) having test chart organization 101 as illustrated in FIG. 1B.Groups 1-6 correspond to progressive colorant combinations aimed atproviding a distribution of patches throughout colorant space asdetailed in Table 1.

TABLE 1 Group Black Tint (%) CMY Tints (%) # of Patches 1 0 0, 10, 20,30, 40, 9 × 9 × 9 = 729 55, 70, 85, 100 2 20 0, 10, 20, 40, 70, 6 × 6 ×6 = 216 100 3 40 0, 20, 40, 70, 100 5 × 5 × 5 = 125 4 60 0, 20, 40, 70,100 5 × 5 × 5 = 125 5 80 0, 40, 70, 100 4 × 4 × 4 = 64 6 100 0, 40, 1003 × 3 × 3 = 27 Total Patches 1286

Groups 7-13 include a total of 199 test patches detailed below. Group 7corresponds to single colorant tone steps (4×20=80 patches). Group 8corresponds to a patch with no colorants. Group 9 corresponds to graybalance steps including cyan, magenta, and yellow with black overprints(37 patches). Group 10 corresponds to base colors with 70% black forcompatibility to ISO 12642 (9 patches). Group 11 corresponds to allcombinations of CMYK at selected tint levels (0%, 3%) withoutredundancies from groups 1-7 (11 patches). Group 12 corresponds to allcombinations of CMYK at selected tint levels (0%, 7%) withoutredundancies from groups 1-7 (11 patches). Group 13 corresponds to allcombinations of CMYK at selected tint levels (0%, 3%, 40%) withoutredundancies from groups 1-7 (50 patches).

FIG. 2 is a diagram illustrating an exemplary visual representation oftest chart 102, consistent with the 2005 recommendation of the AmericanNational Standards Institute (IT8.7/4) for characterizing the colorresponse of four process colorant printing devices. Test chart 102includes approximately 1,617 patches, of which 1,558 are distinct, ofwhich 1,457 are shared with chart 100. Most (130) of the additional 131test patches are similar to the group 2 test patches of chart 10 exceptwith a 10% black tint instead of 20% black tint and without redundanciesfrom groups 1-7.

FIG. 3 is a diagram illustrating a computer-controlled apparatus 200according to the present invention. It comprises a printer 201,configured to print with a set of process colorants. The set ofcolorants can include cyan, magenta, yellow and black for example. Insome embodiments, the set of colorants can include additional colorantsas well. For example, orange, green and blue colorants may be added toenlarge the gamut of printer 201.

Printer 201 accepts image data, defining a plurality of image objects orpixels, each specified with one or more colorant combinations. Printer201 can optionally include a rendering component to transform image datafrom a first format (e.g. vector or raster page descriptions) into aformat suitable for use by imaging components of printer 201. Duringcharacterization, test chart data 210 can be supplied to printer 201 sothat printed test chart 211 can be reproduced.

According to one aspect of the present invention, controller 202sequences the characterization process by directing test chart generator203 to supply test chart data 210. The construction of test chart data210 can be predetermined or can be based on a set of target colors 213identified to controller 202. For example, a user may identify a desireto reproduce colors from a particular Pantone® library. As anotherexample, a user may identify the desire to reproduce a subset of colorsfrom a library, each specified with device-independent color coordinates(e.g. CIELAB coordinates). In this case, a subset of the predeterminedtest chart data can be used.

Based on the desired target colors, test chart generator 203 can bedirected to configure test chart data 210 to have more or less testpatches. As described below, in reference to FIGS. 4A-4D, an exemplarytest chart is an exemplary visual representation of test chart data 210suitable for characterizing printer 201 for a wide range of targetcolors 213 such as a Pantone® library.

Controller 202 directs color measurement device 204 to measure testpatches from printed test chart 211 and produce device-independent colorcoordinates 212. Controller 202 directs color model generator 205 toassociate test patch colorant combinations of test chart data 210 withcolor coordinates 212 and to generate a color model 214 that accuratelyrepresents the set of colorant combinations and associated colors andpredicts color values in areas of interest in colorant space. Colormodel 214 can be inverted to identify colorant combinations forarbitrary target colors.

In some embodiments, test chart generator 203 can be located on anexternal computer system and used to generate test chart data 210independent of apparatus 200. In this case, test chart data 210 can bestored on a computerized storage medium that is accessible to apparatus200. As another alternative, apparatus 200 can generate test chart data210 and store it for later use by apparatus 200 or another system usedto characterize printer 201.

Since the color response of printer 201 involves a complex functionalrelationship between colorant combinations and color values, model 214must be sufficiently flexibility to represent both the entire range ofcolorant combinations while accurately predicting the response acrossregions that may be locally linear or nonlinear.

A mathematical functional relationship that is continuous and smooth canbe modeled with reasonable accuracy from values at sample points if thederivatives do not vary rapidly relative to the sampling density. Thisimplies that to accurately model a function, one may sample sparselywhere the derivatives vary slowly or where low accuracy is required, butmust sample densely where the derivatives vary rapidly or high accuracyis desired. This of course necessitates a mathematical model that isflexible, that is one that can reproduce values exactly, or at least toa desired accuracy, no matter how densely the domain is sampled.

Functions of a single variable are often approximated by low-orderpolynomials (e.g. a line or quadratic) if the derivatives change slowlyacross the range of interest. The more a function departs from a simplelinear or quadratic relationship, the more parameters are needed tomodel it. One approach is to increase the order of a polynomialapproximation, but polynomial coefficient estimation is plagued withinstability that can lead to “approximations” that oscillate wildlybetween sample points. A more stable alternative commonly used is aspline, i.e., where the function is modeled using several “submodels”having a mathematical form with few parameters, but with differentvalues for the parameters over different regions of the function'sdomain, and such that the submodels produce the same values at commonboundaries of the regions, and possibly also have the same derivativesat the common boundaries. For functions of a single variable it isstandard practice to use cubic polynomials over successive intervals,usually with not only the same values at the “nodes” where adjoiningintervals meet, but also the same first and second derivatives so themodel is very smooth.

One characteristic of a spline is that the submodels switch abruptlyfrom one submodel to the next, so that some care is needed to ensurecontinuity or smoothness at the boundaries, but it is also possible toshift gradually from one submodel to another using weights for eachsubmodel which are a function of the spatial relation of the point atwhich the function is evaluated to the “centers” of the regions overwhich each submodel is defined.

For functions of a single variable, samples are often taken on a gridbecause many methods are designed for samples on a grid, and it ispossible to increase the accuracy of an approximation by sampling onfiner grid and increasing the number of submodels. This method isreadily extended to functions of multiple variables using splines whichare products of cubic polynomials within each cube. However, forfunctions of multiple variables the use of a fine multidimensional gridtypically requires so many samples as to be infeasible.

Sampling the color of a single colorant at tint levels 10% apartrequires only 11 samples, but doing so for four colorants requires11⁴=14,641 samples. For a function of a single variable one can define aspline over intervals of different sizes, and, though less well known,for a function of multiple variables one can define a spline overmultidimensional “cells” (e.g. hyper-rectangles) of different sizes. Itis therefore possible to sample finely in a region where accuracy orrapid change demands, or sparsely elsewhere and build submodels torepresent the function over its entire domain.

According to one embodiment, color model 214 is a composite modelconstructed by combining a set of submodels for a set ofmulti-dimensional cells into an overall color model for the colorantspace, i.e., a multidimensional spline, so that the model is at leastcontinuous across cell boundaries. Selection of the cells can bedetermined based on the colorant combinations of the test patchesselected for test chart data 210, such as a Delaunay tessellation of thecolorant combinations, or a set of (hyper) rectangular cells, thedensity of which varies in proportion to the density of the colorantcombinations in the colorant space.

Controller 202 can direct generation of target color recipes 215 thatcan be saved for later use. When a target color 213 is specified inimage data supplied to printer 201, a colorant combination, identifiedby the appropriate target color recipe 215, can be substituted for thetarget color 213.

FIGS. 4A-4D are diagrams illustrating an exemplary test chart accordingto the present invention. The test chart includes four test chart forms301-304 specifying test patches comprising up to seven process colorants(e.g. cyan, magenta, yellow, black, orange, green, and blue). Test chartdata corresponding to the test chart can include 4,412 distinct testpatches suitable for accurately predicting recipes for a wide range oftarget colors such as a Pantone® library. Test chart forms 301-304 canbe printed on a single substrate or on multiple substrates as requiredfor color measurement device 204 to make suitable measurements.

Test chart forms 301-304 depict a somewhat randomized arrangement oftest patches, including some replicates. Other arrangements, includingthe use of more or less replicates can be used within the scope of thepresent invention.

If only four process colorants are configured, the test chart can besimplified to include patches using only the first four colorants. Inthis case, the number of distinct test patches can be reduced to 2,571.

The patches of the test chart can include a first set of test patches,selected to provide a first degree of color characterization accuracyand which are distributed throughout substantially all of the colorantcombination space inscribed by the primary four process colorants ofprinter 201. For example, the first set of patches can include the 1,457distinct patches specified by chart 100. As an alternative, a similarnumber of test patches can be used that provide a wide-ranging samplingof colorant space but which are too granular to enable accurate modelingof colorant regions having nonlinear color responses.

The patches of the test chart can also include a second set of testpatches, selected to provide a second degree of color characterizationaccuracy which are distributed in selected regions of colorant space.According to one embodiment, the second set of patches can be located incolorant space regions where significant nonlinearities in the colorresponse exist. According to one embodiment, the second of patches canbe located in the regions of colorant space that produce colors similarto at least one of the target colors 213.

According to some embodiments, the second set of patches can be selectedto limit the number of chromatic colorants having non-zero colorantvalues. For printers 201 with four process colorants (i.e. CMYK),patches were generated, printed and measured for the second set based ontarget colors 213 corresponding to a Pantone® library. In particular,colorant recipes near target colors 213 were identified using an initialcharacterization based on a first set of test patches. From thoserecipes, the set of second patches were selected to be near the recipesbut with almost all of the patches having at most two chromaticcolorants with non-zero values.

After the measurements were complete, 1,114 patches were identified forthe second set of patches. The second set included 1,109 patches with atmost two chromatic colorants with non-zero values. The specific set ofcolorant combinations for the second set of test patches for fourprocess colorants is detailed below in Table 2.

Test chart data 210 with the first set of patches and the second set ofpatches was printed, measured and a composite color model 214 wascreated. Color recipes 215 were predicted for target colors 213 andprinted. The measured color of the resultant patches were good matchesfor the target colors 213.

Further experiments showed that for printers 201 with seven processcolorants (e.g. CMYKOGB), the second set of patches can be augmentedwith another 1,841 patches based on a similar strategy of selectingpatches near target colors 213 with almost all patches limited to atmost three chromatic colorants with non-zero values. The specific set ofcolorant combinations for the second set of test patches for sevenprocess colorants is detailed below in Table 3.

The number of test patches in the second set of test patches can bereduced if the number and color space location of target colors 213 islimited. Test patches can be removed from test chart data 210 forregions of colorant space that produce colors significantly differentthan the target colors 213. Although this will save somecharacterization resources, the resulting color model 214 may havelimited accuracy in regions of colorant space where test patches wereremoved.

TABLE 2 (C, M, Y, K) Tint (0, 0, 34.9, 0) (0, 0, 40.4, 0) (0, 0, 42.7,0) (0, 0, 45.1, 0) (0, 0, 51.8, 0) (0, 0, 65.1, 0) (0, 0, 66.3, 0) (0,0, 81.6, 0) (0, 0, 86.3, 0) (0, 0, 92.2, 0) (0, 3.5, 86.3, 0) (0, 7.1,25.1, 0) (0, 7.1, 69, 0) (0, 7.1, 74.1, 0) (0, 10.6, 81.6, 0) (0, 10.6,98.4, 0) (0, 13.7, 25.1, 0) (0, 13.7, 36.5, 0) (0, 13.7, 42.7, 0) (0,13.7, 59.2, 0) (0, 13.7, 69, 0) (0, 13.7, 69.8, 0) (0, 13.7, 72.9, 0)(0, 13.7, 83.9, 0) (0, 16.9, 0, 0) (0, 16.9, 9, 0) (0, 16.9, 60, 0) (0,16.9, 69.8, 0) (0, 16.9, 86.3, 0) (0, 20, 10.6, 0) (0, 20, 36.5, 0) (0,20, 38.8, 0) (0, 20, 56.1, 0) (0, 20, 63.9, 0) (0, 20, 72.2, 0) (0, 20,82.7, 0) (0, 22.7, 12.5, 0) (0, 22.7, 14.1, 0) (0, 22.7, 26.7, 0) (0,22.7, 31, 0) (0, 22.7, 49.8, 0) (0, 22.7, 57.3, 0) (0, 22.7, 64.7, 0)(0, 22.7, 72.9, 0) (0, 25.9, 12.5, 0) (0, 25.9, 15.7, 0) (0, 25.9, 36.5,0) (0, 25.9, 40.4, 0) (0, 25.9, 46.3, 0) (0, 25.9, 56.1, 0) (0, 25.9,67.1, 0) (0, 28.6, 12.5, 0) (0, 28.6, 71.4, 0) (0, 28.6, 73.7, 0) (0,28.6, 89, 0) (0, 31.4, 0, 0) (0, 31.4, 37.6, 0) (0, 31.4, 38.8, 0) (0,31.4, 47.5, 0) (0, 31.4, 54.1, 0) (0, 31.4, 72.9, 0) (0, 34.1, 12.5, 0)(0, 34.1, 15.7, 0) (0, 34.1, 80.4, 0) (0, 34.9, 0, 0) (0, 36.5, 69, 0)(0, 36.5, 79.6, 0) (0, 36.5, 90.2, 0) (0, 38.8, 0, 0) (0, 38.8, 22, 0)(0, 38.8, 23.5, 0) (0, 38.8, 33.7, 0) (0, 43.5, 17.3, 0) (0, 43.5, 25.1,0) (0, 43.5, 60, 0) (0, 43.5, 61.2, 0) (0, 43.5, 67.1, 0) (0, 45.1, 0,0) (0, 45.9, 5.5, 0) (0, 45.9, 54.1, 0) (0, 45.9, 58, 0) (0, 45.9, 83.5,0) (0, 48.2, 17.3, 0) (0, 48.2, 26.7, 0) (0, 48.2, 45.1, 0) (0, 48.2,62.7, 0) (0, 48.2, 77.6, 0) (0, 50.2, 12.5, 0) (0, 50.2, 56.1, 0) (0,52.2, 25.1, 0) (0, 54.1, 54.9, 0) (0, 54.1, 75.7, 0) (0, 54.1, 79.2, 0)(0, 56.1, 3.5, 0) (0, 56.1, 33.7, 0) (0, 56.1, 34.9, 0) (0, 56.5, 14.9,0) (0, 59.6, 42.7, 0) (0, 59.6, 51.8, 0) (0, 59.6, 59.2, 0) (0, 59.6,80.4, 0) (0, 61.6, 70.6, 0) (0, 61.6, 73.7, 0) (0, 63.1, 51, 0) (0,64.7, 0, 0) (0, 64.7, 17.3, 0) (0, 64.7, 33.7, 0) (0, 65.1, 0, 0) (0,66.3, 87.1, 0) (0, 67.8, 90.2, 0) (0, 69, 81.6, 0) (0, 70.6, 3.5, 0) (0,71.8, 74.9, 0) (0, 73.3, 37.6, 0) (0, 73.3, 82.7, 0) (0, 75.7, 48.6, 0)(0, 75.7, 51.8, 0) (0, 75.7, 62, 0) (0, 75.7, 73.7, 0) (0, 76.9, 92.2,0) (0, 79.2, 14.1, 0) (0, 80, 51, 0) (0, 81.2, 86.7, 0) (0, 82, 41.6, 0)(0, 82, 83.9, 0) (0, 83.1, 27.8, 0) (0, 83.9, 62.7, 0) (0, 84.7, 51, 0)(0, 84.7, 77.6, 0) (0, 85.5, 0, 0) (0, 86.3, 66.3, 0) (0, 89.4, 74.1, 0)(0, 92.5, 81.2, 0) (0, 93.3, 41.6, 0) (0, 95.3, 70.6, 0) (0, 96.1, 81.2,0) (0, 96.9, 66.3, 0) (2.7, 0, 59.2, 0) (6.3, 0, 51.8, 0) (6.3, 0, 77.6,0) (6.3, 31.4, 0, 0) (6.3, 81.2, 0, 0) (6.3, 92.5, 0, 0) (6.3, 93.7, 0,0) (9.8, 0, 72.9, 0) (9.8, 31.4, 0, 0) (9.8, 56.1, 0, 0) (12.9, 0, 61.2,0) (12.9, 0, 74.9, 0) (12.9, 0, 85.5, 0) (12.9, 0, 90.6, 0) (12.9, 0,94.5, 0) (12.9, 16.9, 0, 0) (12.9, 25.9, 0, 0) (12.9, 45.9, 0, 0) (12.9,75.7, 0, 0) (16.1, 0, 43.9, 0) (16.1, 0, 71.4, 0) (16.1, 0, 72.2, 0)(16.1, 0, 76.5, 0) (16.1, 7.1, 0, 0) (16.1, 22.7, 0, 0) (16.1, 34.1, 0,0) (16.1, 48.2, 0, 0) (16.1, 61.6, 0, 0) (16.1, 63.1, 0, 0) (16.1, 82,0, 0) (19.2, 0, 48.6, 0) (19.2, 7.1, 0, 0) (19.2, 41.2, 0, 0) (19.2,50.2, 0, 0) (19.2, 82, 0, 0) (22.4, 0, 12.5, 0) (22.4, 0, 77.6, 0)(22.4, 0, 86.3, 0) (22.4, 13.7, 0, 0) (22.4, 16.9, 0, 0) (22.4, 20, 0,0) (22.4, 45.9, 0, 0) (22.4, 83.9, 0, 0) (25.1, 0, 14.1, 0) (25.1, 0,40.4, 0) (25.1, 0, 47.5, 0) (25.1, 0, 56.1, 0) (25.1, 0, 83.5, 0) (25.1,7.1, 0, 0) (25.1, 13.7, 0, 0) (25.1, 31.4, 0, 0) (25.1, 45.9, 0, 0)(28.2, 0, 7.1, 0) (28.2, 0, 9, 0) (28.2, 41.2, 0, 0) (28.2, 45.9, 0, 0)(28.2, 54.1, 0, 0) (31, 0, 14.1, 0) (31, 0, 52.9, 0) (31, 69, 0, 0) (31,93.3, 0, 0) (33.3, 20, 0, 0) (33.3, 31.4, 0, 0) (33.3, 59.6, 0, 0)(33.3, 87.8, 0, 0) (34.9, 0, 0, 0) (36.1, 0, 0, 0) (36.1, 0, 7.1, 0)(36.1, 0, 17.3, 0) (36.1, 0, 29.4, 0) (36.1, 0, 48.6, 0) (36.1, 16.9, 0,0) (36.1, 20, 0, 0) (38.4, 0, 9, 0) (38.4, 0, 14.1, 0) (38.4, 0, 15.7,0) (38.4, 0, 32.2, 0) (38.4, 16.9, 0, 0) (38.4, 20, 0, 0) (38.4, 48.2,0, 0) (38.4, 61.6, 0, 0) (38.4, 92.5, 0, 0) (38.4, 96.5, 0, 0) (40.8, 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25.9, 89, 52.5) (0, 28.6, 72.2,52.5) (0, 61.6, 68.2, 52.5) (0, 64.7, 43.9, 52.5) (0, 64.7, 91, 52.5)(0, 73.3, 82.4, 52.5) (0, 76.9, 54.9, 52.5) (0, 81.2, 23.5, 52.5) (0,87.1, 83.9, 52.5) (0, 90.6, 51, 52.5) (0, 97.6, 74.1, 52.5) (0, 98.4,82.4, 52.5) (0, 98.8, 51.8, 52.5) (9.8, 0, 18.8, 52.5) (40.8, 16.9, 0,52.5) (62.7, 28.6, 0, 52.5) (83.1, 0, 51, 52.5) (90.2, 16.9, 0, 52.5)(92.5, 0, 37.6, 52.5) (100, 13.7, 17.3, 52.5) (0, 16.9, 23.5, 54.5) (0,20, 23.5, 54.5) (0, 20, 92.9, 54.5) (0, 41.2, 54.9, 54.5) (0, 56.1,57.3, 54.5) (0, 64.7, 74.9, 54.5) (0, 71.8, 91, 54.5) (0, 78, 93.3,54.5) (0, 81.2, 94.1, 54.5) (12.9, 0, 0, 54.5) (16.1, 3.5, 0, 54.5)(19.2, 0, 66.3, 54.5) (19.2, 0, 88.6, 54.5) (28.2, 96.9, 0, 54.5) (33.3,87.8, 0, 54.5) (64.7, 0, 45.1, 54.5) (80.4, 95.7, 0, 54.5) (92.9, 0,63.9, 54.5) (100, 88.6, 0, 54.5) (0, 0, 0, 54.9) (0, 88.6, 71.4, 56.5)(0, 96.1, 66.3, 56.5) (6.3, 0, 12.5, 56.5) (31, 13.7, 0, 56.5) (47.8, 0,89.8, 56.5) (51.8, 0, 36.5, 56.5) (97.3, 94.5, 0, 56.5) (100, 81.2, 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87.1, 0, 83.5) (98.8, 66.3, 0, 83.5) (0, 25.9,74.1, 84.3) (40.8, 0, 74.1, 84.3) (100, 85.5, 0, 84.3) (0, 28.6, 72.2,85.1) (0, 75.7, 62.7, 85.1) (96.1, 74.5, 0, 85.1) (100, 75.7, 0, 85.1)(33.3, 64.7, 0, 85.9) (70.6, 38.8, 0, 85.9) (0, 67.8, 71.4, 86.7) (0,81.2, 85.5, 86.7) (25.1, 0, 3.5, 86.7) (43.1, 0, 82.7, 86.7) (0, 50.2,36.5, 87.1) (76.9, 0, 49.8, 87.1) (81.2, 61.6, 0, 87.1) (83.9, 0, 57.3,87.1) (97.6, 52.2, 0, 87.1) (0, 31.4, 66.3, 87.8) (0, 70.6, 7.1, 87.8)(75.7, 0, 42.7, 87.8) (97.6, 52.2, 0, 87.8) (98.4, 38.8, 0, 87.8) (0,71.8, 3.5, 88.6) (62.7, 28.6, 0, 88.6) (85.1, 82, 0, 88.6) (0, 50.2, 62,89) (0, 87.8, 74.1, 89) (16.1, 0, 14.1, 89) (81.2, 0, 54.1, 89) (91.8,87.1, 0, 89) (95.7, 0, 14.1, 89.8) (0, 61.6, 42.7, 90.2) (79.2, 0, 62.7,91) (0, 43.5, 36.5, 91.4) (91.8, 0, 67.1, 91.4) (0, 3.5, 17.3, 91.8)(98, 0, 15.7, 91.8) (0, 48.2, 43.9, 92.2) (100, 61.6, 0, 93.3) (98.4,38.8, 0, 93.7) (0, 20, 62.7, 94.5) (0, 22.7, 36.5, 94.5) (62.7, 45.9, 0,94.5) (31, 0, 0, 94.9) (0, 52.2, 67.1, 95.3) (47.8, 0, 41.6, 95.7)(70.6, 20, 0, 96.1) (89.4, 36.5, 0, 96.9) (31, 0, 26.7, 97.6) (33.3, 0,26.7, 97.6) (43.1, 0, 37.6, 97.6) (96.5, 22.7, 0, 98)

TABLE 3 (C, M, Y, K, O, G, B) Tint (0, 0, 0, 0, 0, 0, 2) (0, 0, 0, 0, 0,0, 3.1) (0, 0, 0, 0, 0, 0, 5.1) (0, 0, 0, 0, 0, 0, 7.1) (0, 0, 0, 0, 0,0, 10.2) (0, 0, 0, 0, 0, 0, 14.9) (0, 0, 0, 0, 0, 0, 20) (0, 0, 0, 0, 0,0, 25.1) (0, 0, 0, 0, 0, 0, 30.2) (0, 0, 0, 0, 0, 0, 34.9) (0, 0, 0, 0,0, 0, 40) (0, 0, 0, 0, 0, 0, 45.1) (0, 0, 0, 0, 0, 0, 50.2) (0, 0, 0, 0,0, 0, 54.9) (0, 0, 0, 0, 0, 0, 60) (0, 0, 0, 0, 0, 0, 65.1) (0, 0, 0, 0,0, 0, 70.2) (0, 0, 0, 0, 0, 0, 74.9) (0, 0, 0, 0, 0, 0, 80) (0, 0, 0, 0,0, 0, 85.1) (0, 0, 0, 0, 0, 0, 90.2) (0, 0, 0, 0, 0, 0, 94.9) (0, 0, 0,0, 0, 0, 98) (0, 0, 0, 0, 0, 0, 100) (0, 0, 0, 0, 0, 2, 0) (0, 0, 0, 0,0, 3.1, 0) (0, 0, 0, 0, 0, 5.1, 0) (0, 0, 0, 0, 0, 7.1, 0) (0, 0, 0, 0,0, 10.2, 0) (0, 0, 0, 0, 0, 14.9, 0) (0, 0, 0, 0, 0, 20, 0) (0, 0, 0, 0,0, 25.1, 0) (0, 0, 0, 0, 0, 30.2, 0) (0, 0, 0, 0, 0, 34.9, 0) (0, 0, 0,0, 0, 37.6, 0) (0, 0, 0, 0, 0, 40, 0) (0, 0, 0, 0, 0, 45.1, 0) (0, 0, 0,0, 0, 47.8, 0) (0, 0, 0, 0, 0, 50.2, 0) (0, 0, 0, 0, 0, 54.9, 0) (0, 0,0, 0, 0, 60, 0) (0, 0, 0, 0, 0, 65.1, 0) (0, 0, 0, 0, 0, 70.2, 0) (0, 0,0, 0, 0, 74.9, 0) (0, 0, 0, 0, 0, 80, 0) (0, 0, 0, 0, 0, 85.1, 0) (0, 0,0, 0, 0, 90.2, 0) (0, 0, 0, 0, 0, 94.9, 0) (0, 0, 0, 0, 0, 98, 0) (0, 0,0, 0, 0, 100, 0) (0, 0, 0, 0, 2, 0, 0) (0, 0, 0, 0, 3.1, 0, 0) (0, 0, 0,0, 5.1, 0, 0) (0, 0, 0, 0, 7.1, 0, 0) (0, 0, 0, 0, 10.2, 0, 0) (0, 0, 0,0, 14.9, 0, 0) (0, 0, 0, 0, 20, 0, 0) (0, 0, 0, 0, 25.1, 0, 0) (0, 0, 0,0, 30.2, 0, 0) (0, 0, 0, 0, 34.9, 0, 0) (0, 0, 0, 0, 40, 0, 0) (0, 0, 0,0, 45.1, 0, 0) (0, 0, 0, 0, 50.2, 0, 0) (0, 0, 0, 0, 54.9, 0, 0) (0, 0,0, 0, 60, 0, 0) (0, 0, 0, 0, 65.1, 0, 0) (0, 0, 0, 0, 70.2, 0, 0) (0, 0,0, 0, 74.9, 0, 0) (0, 0, 0, 0, 80, 0, 0) (0, 0, 0, 0, 85.1, 0, 0) (0, 0,0, 0, 90.2, 0, 0) (0, 0, 0, 0, 94.9, 0, 0) (0, 0, 0, 0, 98, 0, 0) (0, 0,0, 0, 100, 0, 0) (0, 0, 0, 3.1, 0, 0, 3.1) (0, 0, 0, 3.1, 0, 0, 40) (0,0, 0, 3.1, 0, 3.1, 0) (0, 0, 0, 3.1, 0, 40, 0) (0, 0, 0, 3.1, 3.1, 0, 0)(0, 0, 0, 3.1, 40, 0, 0) (0, 0, 0, 7.1, 0, 0, 7.1) (0, 0, 0, 7.1, 0,7.1, 0) (0, 0, 0, 7.1, 7.1, 0, 0) (0, 0, 0, 11.8, 0, 0, 49.4) (0, 0, 0,20, 0, 0, 10.2) (0, 0, 0, 20, 0, 0, 20) (0, 0, 0, 20, 0, 0, 40) (0, 0,0, 20, 0, 0, 70.2) (0, 0, 0, 20, 0, 0, 100) (0, 0, 0, 20, 0, 10.2, 0)(0, 0, 0, 20, 0, 20, 0) (0, 0, 0, 20, 0, 40, 0) (0, 0, 0, 20, 0, 70.2,0) (0, 0, 0, 20, 0, 100, 0) (0, 0, 0, 20, 10.2, 0, 0) (0, 0, 0, 20, 20,0, 0) (0, 0, 0, 20, 40, 0, 0) (0, 0, 0, 20, 70.2, 0, 0) (0, 0, 0, 20,100, 0, 0) (0, 0, 0, 40, 0, 0, 3.1) (0, 0, 0, 40, 0, 0, 20) (0, 0, 0,40, 0, 0, 40) (0, 0, 0, 40, 0, 0, 70.2) (0, 0, 0, 40, 0, 0, 100) (0, 0,0, 40, 0, 3.1, 0) (0, 0, 0, 40, 0, 20, 0) (0, 0, 0, 40, 0, 40, 0) (0, 0,0, 40, 0, 70.2, 0) (0, 0, 0, 40, 0, 100, 0) (0, 0, 0, 40, 3.1, 0, 0) (0,0, 0, 40, 20, 0, 0) (0, 0, 0, 40, 40, 0, 0) (0, 0, 0, 40, 70.2, 0, 0)(0, 0, 0, 40, 100, 0, 0) (0, 0, 0, 60, 0, 0, 20) (0, 0, 0, 60, 0, 0, 40)(0, 0, 0, 60, 0, 0, 70.2) (0, 0, 0, 60, 0, 0, 100) (0, 0, 0, 60, 0, 20,0) (0, 0, 0, 60, 0, 40, 0) (0, 0, 0, 60, 0, 70.2, 0) (0, 0, 0, 60, 0,100, 0) (0, 0, 0, 60, 20, 0, 0) (0, 0, 0, 60, 40, 0, 0) (0, 0, 0, 60,70.2, 0, 0) (0, 0, 0, 60, 100, 0, 0) (0, 0, 0, 70.2, 0, 0, 100) (0, 0,0, 70.2, 0, 100, 0) (0, 0, 0, 70.2, 100, 0, 0) (0, 0, 0, 80, 0, 0, 40)(0, 0, 0, 80, 0, 0, 70.2) (0, 0, 0, 80, 0, 0, 100) (0, 0, 0, 80, 0, 40,0) (0, 0, 0, 80, 0, 70.2, 0) (0, 0, 0, 80, 0, 100, 0) (0, 0, 0, 80, 40,0, 0) (0, 0, 0, 80, 70.2, 0, 0) (0, 0, 0, 80, 100, 0, 0) (0, 0, 0, 100,0, 0, 40) (0, 0, 0, 100, 0, 0, 100) (0, 0, 0, 100, 0, 40, 0) (0, 0, 0,100, 0, 100, 0) (0, 0, 0, 100, 40, 0, 0) (0, 0, 0, 100, 100, 0, 0) (0,0, 2, 0, 0, 42.7, 0) (0, 0, 3.1, 0, 0, 3.1, 0) (0, 0, 3.1, 0, 0, 40, 0)(0, 0, 3.1, 0, 3.1, 0, 0) (0, 0, 3.1, 0, 40, 0, 0) (0, 0, 3.1, 3.1, 0,3.1, 0) (0, 0, 3.1, 3.1, 0, 40, 0) (0, 0, 3.1, 3.1, 3.1, 0, 0) (0, 0,3.1, 3.1, 40, 0, 0) (0, 0, 3.1, 40, 0, 3.1, 0) (0, 0, 3.1, 40, 0, 40, 0)(0, 0, 3.1, 40, 3.1, 0, 0) (0, 0, 3.1, 40, 40, 0, 0) (0, 0, 5.5, 0, 0,37.6, 0) (0, 0, 7.1, 0, 0, 7.1, 0) (0, 0, 7.1, 0, 7.1, 0, 0) (0, 0, 7.1,7.1, 0, 7.1, 0) (0, 0, 7.1, 7.1, 7.1, 0, 0) (0, 0, 9, 5.1, 36.5, 0, 0)(0, 0, 10.2, 0, 0, 10.2, 0) (0, 0, 10.2, 0, 0, 20, 0) (0, 0, 10.2, 0, 0,30.2, 0) (0, 0, 10.2, 0, 0, 40, 0) (0, 0, 10.2, 0, 0, 54.9, 0) (0, 0,10.2, 0, 0, 70.2, 0) (0, 0, 10.2, 0, 0, 85.1, 0) (0, 0, 10.2, 0, 0, 100,0) (0, 0, 10.2, 0, 10.2, 0, 0) (0, 0, 10.2, 0, 20, 0, 0) (0, 0, 10.2, 0,30.2, 0, 0) (0, 0, 10.2, 0, 40, 0, 0) (0, 0, 10.2, 0, 54.9, 0, 0) (0, 0,10.2, 0, 70.2, 0, 0) (0, 0, 10.2, 0, 85.1, 0, 0) (0, 0, 10.2, 0, 100, 0,0) (0, 0, 10.2, 20, 0, 10.2, 0) (0, 0, 10.2, 20, 0, 20, 0) (0, 0, 10.2,20, 0, 40, 0) (0, 0, 10.2, 20, 0, 70.2, 0) (0, 0, 10.2, 20, 0, 100, 0)(0, 0, 10.2, 20, 10.2, 0, 0) (0, 0, 10.2, 20, 20, 0, 0) (0, 0, 10.2, 20,40, 0, 0) (0, 0, 10.2, 20, 70.2, 0, 0) (0, 0, 10.2, 20, 100, 0, 0) (0,0, 14.1, 8.2, 43.5, 0, 0) (0, 0, 15.7, 0, 0, 87.8, 0) (0, 0, 15.7, 0,62.7, 0, 0) (0, 0, 18.8, 18, 0, 96.1, 0) (0, 0, 20, 0, 0, 10.2, 0) (0,0, 20, 0, 0, 20, 0) (0, 0, 20, 0, 0, 30.2, 0) (0, 0, 20, 0, 0, 40, 0)(0, 0, 20, 0, 0, 54.9, 0) (0, 0, 20, 0, 0, 70.2, 0) (0, 0, 20, 0, 0,85.1, 0) (0, 0, 20, 0, 0, 100, 0) (0, 0, 20, 0, 10.2, 0, 0) (0, 0, 20,0, 20, 0, 0) (0, 0, 20, 0, 30.2, 0, 0) (0, 0, 20, 0, 40, 0, 0) (0, 0,20, 0, 54.9, 0, 0) (0, 0, 20, 0, 70.2, 0, 0) (0, 0, 20, 0, 85.1, 0, 0)(0, 0, 20, 0, 100, 0, 0) (0, 0, 20, 20, 0, 10.2, 0) (0, 0, 20, 20, 0,20, 0) (0, 0, 20, 20, 0, 40, 0) (0, 0, 20, 20, 0, 70.2, 0) (0, 0, 20,20, 0, 100, 0) (0, 0, 20, 20, 10.2, 0, 0) (0, 0, 20, 20, 20, 0, 0) (0,0, 20, 20, 40, 0, 0) (0, 0, 20, 20, 70.2, 0, 0) (0, 0, 20, 20, 100, 0,0) (0, 0, 20, 40, 0, 20, 0) (0, 0, 20, 40, 0, 40, 0) (0, 0, 20, 40, 0,70.2, 0) (0, 0, 20, 40, 0, 100, 0) (0, 0, 20, 40, 20, 0, 0) (0, 0, 20,40, 40, 0, 0) (0, 0, 20, 40, 70.2, 0, 0) (0, 0, 20, 40, 100, 0, 0) (0,0, 20, 60, 0, 20, 0) (0, 0, 20, 60, 0, 40, 0) (0, 0, 20, 60, 0, 70.2, 0)(0, 0, 20, 60, 0, 100, 0) (0, 0, 20, 60, 20, 0, 0) (0, 0, 20, 60, 40, 0,0) (0, 0, 20, 60, 70.2, 0, 0) (0, 0, 20, 60, 100, 0, 0) (0, 0, 22, 5.1,36.5, 0, 0) (0, 0, 27.8, 0, 57.6, 0, 0) (0, 0, 27.8, 11.8, 56.1, 0, 0)(0, 0, 30.2, 0, 0, 10.2, 0) (0, 0, 30.2, 0, 0, 20, 0) (0, 0, 30.2, 0, 0,30.2, 0) (0, 0, 30.2, 0, 0, 40, 0) (0, 0, 30.2, 0, 0, 54.9, 0) (0, 0,30.2, 0, 0, 70.2, 0) (0, 0, 30.2, 0, 0, 85.1, 0) (0, 0, 30.2, 0, 0, 100,0) (0, 0, 30.2, 0, 10.2, 0, 0) (0, 0, 30.2, 0, 20, 0, 0) (0, 0, 30.2, 0,30.2, 0, 0) (0, 0, 30.2, 0, 40, 0, 0) (0, 0, 30.2, 0, 54.9, 0, 0) (0, 0,30.2, 0, 70.2, 0, 0) (0, 0, 30.2, 0, 85.1, 0, 0) (0, 0, 30.2, 0, 100, 0,0) (0, 0, 31, 5.1, 45.9, 0, 0) (0, 0, 34.9, 5.1, 33.7, 0, 0) (0, 0,37.6, 8.2, 0, 35.3, 0) (0, 0, 37.6, 8.2, 91.8, 0, 0) (0, 0, 40, 0, 0, 0,70.2) (0, 0, 40, 0, 0, 0, 100) (0, 0, 40, 0, 0, 3.1, 0) (0, 0, 40, 0, 0,10.2, 0) (0, 0, 40, 0, 0, 20, 0) (0, 0, 40, 0, 0, 30.2, 0) (0, 0, 40, 0,0, 40, 0) (0, 0, 40, 0, 0, 54.9, 0) (0, 0, 40, 0, 0, 70.2, 0) (0, 0, 40,0, 0, 85.1, 0) (0, 0, 40, 0, 0, 100, 0) (0, 0, 40, 0, 3.1, 0, 0) (0, 0,40, 0, 10.2, 0, 0) (0, 0, 40, 0, 20, 0, 0) (0, 0, 40, 0, 30.2, 0, 0) (0,0, 40, 0, 40, 0, 0) (0, 0, 40, 0, 54.9, 0, 0) (0, 0, 40, 0, 70.2, 0, 0)(0, 0, 40, 0, 85.1, 0, 0) (0, 0, 40, 0, 100, 0, 0) (0, 0, 40, 3.1, 0,3.1, 0) (0, 0, 40, 3.1, 0, 40, 0) (0, 0, 40, 3.1, 3.1, 0, 0) (0, 0, 40,3.1, 40, 0, 0) (0, 0, 40, 20, 0, 10.2, 0) (0, 0, 40, 20, 0, 20, 0) (0,0, 40, 20, 0, 40, 0) (0, 0, 40, 20, 0, 70.2, 0) (0, 0, 40, 20, 0, 100,0) (0, 0, 40, 20, 10.2, 0, 0) (0, 0, 40, 20, 20, 0, 0) (0, 0, 40, 20,40, 0, 0) (0, 0, 40, 20, 70.2, 0, 0) (0, 0, 40, 20, 100, 0, 0) (0, 0,40, 40, 0, 3.1, 0) (0, 0, 40, 40, 0, 20, 0) (0, 0, 40, 40, 0, 40, 0) (0,0, 40, 40, 0, 70.2, 0) (0, 0, 40, 40, 0, 100, 0) (0, 0, 40, 40, 3.1, 0,0) (0, 0, 40, 40, 20, 0, 0) (0, 0, 40, 40, 40, 0, 0) (0, 0, 40, 40,70.2, 0, 0) (0, 0, 40, 40, 100, 0, 0) (0, 0, 40, 60, 0, 20, 0) (0, 0,40, 60, 0, 40, 0) (0, 0, 40, 60, 0, 70.2, 0) (0, 0, 40, 60, 0, 100, 0)(0, 0, 40, 60, 20, 0, 0) (0, 0, 40, 60, 40, 0, 0) (0, 0, 40, 60, 70.2,0, 0) (0, 0, 40, 60, 100, 0, 0) (0, 0, 40, 80, 0, 0, 100) (0, 0, 40, 80,0, 40, 0) (0, 0, 40, 80, 0, 70.2, 0) (0, 0, 40, 80, 0, 100, 0) (0, 0,40, 80, 40, 0, 0) (0, 0, 40, 80, 70.2, 0, 0) (0, 0, 40, 80, 100, 0, 0)(0, 0, 40, 100, 0, 40, 0) (0, 0, 40, 100, 0, 100, 0) (0, 0, 40, 100, 40,0, 0) (0, 0, 40, 100, 100, 0, 0) (0, 0, 40.4, 5.1, 38.8, 0, 0) (0, 0,40.4, 8.2, 0, 37.6, 0) (0, 0, 41.6, 0, 0, 14.1, 0) (0, 0, 43.9, 8.2,59.6, 0, 0) (0, 0, 45.1, 0, 0, 17.3, 0) (0, 0, 45.1, 0, 0, 37.6, 0) (0,0, 45.1, 0, 85.1, 0, 0) (0, 0, 45.1, 0, 95.3, 0, 0) (0, 0, 46.3, 0,31.4, 0, 0) (0, 0, 47.5, 0, 22.7, 0, 0) (0, 0, 47.5, 5.1, 0, 26.7, 0)(0, 0, 48.6, 0, 74.1, 0, 0) (0, 0, 49.8, 18, 71.8, 0, 0) (0, 0, 51, 0,0, 3.5, 0) (0, 0, 52.9, 0, 0, 54.5, 0) (0, 0, 52.9, 8.2, 52.2, 0, 0) (0,0, 52.9, 14.9, 0, 60.4, 0) (0, 0, 54.1, 0, 0, 23.5, 0) (0, 0, 54.9, 0,0, 10.2, 0) (0, 0, 54.9, 0, 0, 20, 0) (0, 0, 54.9, 0, 0, 30.2, 0) (0, 0,54.9, 0, 0, 40, 0) (0, 0, 54.9, 0, 0, 54.9, 0) (0, 0, 54.9, 0, 0, 70.2,0) (0, 0, 54.9, 0, 0, 85.1, 0) (0, 0, 54.9, 0, 0, 100, 0) (0, 0, 54.9,0, 10.2, 0, 0) (0, 0, 54.9, 0, 20, 0, 0) (0, 0, 54.9, 0, 30.2, 0, 0) (0,0, 54.9, 0, 40, 0, 0) (0, 0, 54.9, 0, 54.9, 0, 0) (0, 0, 54.9, 0, 70.2,0, 0) (0, 0, 54.9, 0, 85.1, 0, 0) (0, 0, 54.9, 0, 100, 0, 0) (0, 0,56.1, 0, 0, 52.2, 0) (0, 0, 56.1, 5.1, 38.8, 0, 0) (0, 0, 57.3, 0, 22.7,0, 0) (0, 0, 59.2, 8.2, 0, 37.6, 0) (0, 0, 59.2, 18, 0, 72.5, 0) (0, 0,60, 0, 0, 7.5, 0) (0, 0, 61.2, 8.2, 64.3, 0, 0) (0, 0, 62.7, 0, 31.4, 0,0) (0, 0, 62.7, 5.1, 45.9, 0, 0) (0, 0, 64.7, 5.1, 38.8, 0, 0) (0, 0,67.1, 0, 38.8, 0, 0) (0, 0, 70.2, 0, 0, 0, 40) (0, 0, 70.2, 0, 0, 0,70.2) (0, 0, 70.2, 0, 0, 0, 100) (0, 0, 70.2, 0, 0, 10.2, 0) (0, 0,70.2, 0, 0, 20, 0) (0, 0, 70.2, 0, 0, 30.2, 0) (0, 0, 70.2, 0, 0, 40, 0)(0, 0, 70.2, 0, 0, 54.9, 0) (0, 0, 70.2, 0, 0, 70.2, 0) (0, 0, 70.2, 0,0, 85.1, 0) (0, 0, 70.2, 0, 0, 100, 0) (0, 0, 70.2, 0, 10.2, 0, 0) (0,0, 70.2, 0, 20, 0, 0) (0, 0, 70.2, 0, 30.2, 0, 0) (0, 0, 70.2, 0, 40, 0,0) (0, 0, 70.2, 0, 54.9, 0, 0) (0, 0, 70.2, 0, 70.2, 0, 0) (0, 0, 70.2,0, 85.1, 0, 0) (0, 0, 70.2, 0, 100, 0, 0) (0, 0, 70.2, 20, 0, 10.2, 0)(0, 0, 70.2, 20, 0, 20, 0) (0, 0, 70.2, 20, 0, 40, 0) (0, 0, 70.2, 20,0, 70.2, 0) (0, 0, 70.2, 20, 0, 100, 0) (0, 0, 70.2, 20, 10.2, 0, 0) (0,0, 70.2, 20, 20, 0, 0) (0, 0, 70.2, 20, 40, 0, 0) (0, 0, 70.2, 20, 70.2,0, 0) (0, 0, 70.2, 20, 100, 0, 0) (0, 0, 70.2, 40, 0, 20, 0) (0, 0,70.2, 40, 0, 40, 0) (0, 0, 70.2, 40, 0, 70.2, 0) (0, 0, 70.2, 40, 0,100, 0) (0, 0, 70.2, 40, 20, 0, 0) (0, 0, 70.2, 40, 40, 0, 0) (0, 0,70.2, 40, 70.2, 0, 0) (0, 0, 70.2, 40, 100, 0, 0) (0, 0, 70.2, 60, 0, 0,100) (0, 0, 70.2, 60, 0, 20, 0) (0, 0, 70.2, 60, 0, 40, 0) (0, 0, 70.2,60, 0, 70.2, 0) (0, 0, 70.2, 60, 0, 100, 0) (0, 0, 70.2, 60, 20, 0, 0)(0, 0, 70.2, 60, 40, 0, 0) (0, 0, 70.2, 60, 70.2, 0, 0) (0, 0, 70.2, 60,100, 0, 0) (0, 0, 70.2, 80, 0, 0, 70.2) (0, 0, 70.2, 80, 0, 0, 100) (0,0, 70.2, 80, 0, 40, 0) (0, 0, 70.2, 80, 0, 70.2, 0) (0, 0, 70.2, 80, 0,100, 0) (0, 0, 70.2, 80, 40, 0, 0) (0, 0, 70.2, 80, 70.2, 0, 0) (0, 0,70.2, 80, 100, 0, 0) (0, 0, 70.6, 0, 0, 17.3, 0) (0, 0, 72.2, 0, 0, 7.5,0) (0, 0, 72.2, 0, 0, 14.1, 0) (0, 0, 72.2, 5.1, 50.2, 0, 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0)(0, 13.7, 0, 11.8, 0, 0, 68.2) (0, 16.9, 0, 0, 7.1, 0, 0) (0, 16.9, 0,67.8, 0, 0, 98.8) (0, 20, 0, 0, 0, 0, 10.2) (0, 20, 0, 0, 0, 0, 19.2)(0, 20, 0, 0, 0, 0, 20) (0, 20, 0, 0, 0, 0, 30.2) (0, 20, 0, 0, 0, 0,40) (0, 20, 0, 0, 0, 0, 42.7) (0, 20, 0, 0, 0, 0, 54.9) (0, 20, 0, 0, 0,0, 70.2) (0, 20, 0, 0, 0, 0, 85.1) (0, 20, 0, 0, 0, 0, 100) (0, 20, 0,0, 10.2, 0, 0) (0, 20, 0, 0, 20, 0, 0) (0, 20, 0, 0, 30.2, 0, 0) (0, 20,0, 0, 36.5, 0, 0) (0, 20, 0, 0, 40, 0, 0) (0, 20, 0, 0, 54.9, 0, 0) (0,20, 0, 0, 70.2, 0, 0) (0, 20, 0, 0, 85.1, 0, 0) (0, 20, 0, 0, 100, 0, 0)(0, 20, 0, 20, 0, 0, 10.2) (0, 20, 0, 20, 0, 0, 20) (0, 20, 0, 20, 0, 0,40) (0, 20, 0, 20, 0, 0, 70.2) (0, 20, 0, 20, 0, 0, 100) (0, 20, 0, 20,10.2, 0, 0) (0, 20, 0, 20, 20, 0, 0) (0, 20, 0, 20, 40, 0, 0) (0, 20, 0,20, 70.2, 0, 0) (0, 20, 0, 20, 100, 0, 0) (0, 20, 0, 40, 0, 0, 20) (0,20, 0, 40, 0, 0, 40) (0, 20, 0, 40, 0, 0, 70.2) (0, 20, 0, 40, 0, 0,100) (0, 20, 0, 40, 20, 0, 0) (0, 20, 0, 40, 40, 0, 0) (0, 20, 0, 40,70.2, 0, 0) 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40.4) (0, 25.9, 0, 0, 89.4, 0, 0) (0, 28.6,0, 0, 0, 0, 9.8) (0, 28.6, 0, 0, 0, 0, 19.2) (0, 28.6, 0, 0, 97.3, 0, 0)(0, 30.2, 0, 0, 0, 0, 10.2) (0, 30.2, 0, 0, 0, 0, 20) (0, 30.2, 0, 0, 0,0, 30.2) (0, 30.2, 0, 0, 0, 0, 40) (0, 30.2, 0, 0, 0, 0, 54.9) (0, 30.2,0, 0, 0, 0, 70.2) (0, 30.2, 0, 0, 0, 0, 85.1) (0, 30.2, 0, 0, 0, 0, 100)(0, 30.2, 0, 0, 10.2, 0, 0) (0, 30.2, 0, 0, 20, 0, 0) (0, 30.2, 0, 0,30.2, 0, 0) (0, 30.2, 0, 0, 40, 0, 0) (0, 30.2, 0, 0, 54.9, 0, 0) (0,30.2, 0, 0, 70.2, 0, 0) (0, 30.2, 0, 0, 85.1, 0, 0) (0, 30.2, 0, 0, 100,0, 0) (0, 30.2, 10.2, 0, 100, 0, 0) (0, 30.2, 20, 0, 100, 0, 0) (0,30.2, 30.2, 0, 100, 0, 0) (0, 30.2, 40, 0, 100, 0, 0) (0, 30.2, 54.9, 0,100, 0, 0) (0, 30.2, 70.2, 0, 100, 0, 0) (0, 30.2, 85.1, 0, 100, 0, 0)(0, 30.2, 100, 0, 100, 0, 0) (0, 31.4, 0, 0, 10.6, 0, 0) (0, 31.4, 0, 0,16.9, 0, 0) (0, 31.4, 0, 0, 33.7, 0, 0) (0, 31.4, 0, 0, 47.8, 0, 0) (0,31.4, 0, 0, 61.2, 0, 0) (0, 34.1, 0, 0, 0, 0, 27.8) (0, 34.1, 0, 0, 20,0, 0) (0, 34.1, 0, 0, 22.7, 0, 0) (0, 34.1, 0, 0, 64.3, 0, 0) (0, 36.5,0, 0, 0, 0, 22) (0, 36.5, 0, 0, 90.6, 0, 0) (0, 38.8, 0, 0, 0, 0, 38)(0, 38.8, 0, 0, 0, 0, 53.3) (0, 38.8, 0, 0, 22.7, 0, 0) (0, 38.8, 0,5.1, 0, 0, 27.8) (0, 38.8, 0, 29.4, 0, 0, 100) (0, 40, 0, 0, 0, 0, 3.1)(0, 40, 0, 0, 0, 0, 10.2) (0, 40, 0, 0, 0, 0, 20) (0, 40, 0, 0, 0, 0,30.2) (0, 40, 0, 0, 0, 0, 40) (0, 40, 0, 0, 0, 0, 54.9) (0, 40, 0, 0, 0,0, 70.2) (0, 40, 0, 0, 0, 0, 85.1) (0, 40, 0, 0, 0, 0, 100) (0, 40, 0,0, 0, 70.2, 0) (0, 40, 0, 0, 0, 100, 0) (0, 40, 0, 0, 3.1, 0, 0) (0, 40,0, 0, 10.2, 0, 0) (0, 40, 0, 0, 20, 0, 0) (0, 40, 0, 0, 30.2, 0, 0) (0,40, 0, 0, 40, 0, 0) (0, 40, 0, 0, 54.9, 0, 0) (0, 40, 0, 0, 70.2, 0, 0)(0, 40, 0, 0, 85.1, 0, 0) (0, 40, 0, 0, 100, 0, 0) (0, 40, 0, 3.1, 0, 0,3.1) (0, 40, 0, 3.1, 0, 0, 40) (0, 40, 0, 3.1, 3.1, 0, 0) (0, 40, 0,3.1, 40, 0, 0) (0, 40, 0, 20, 0, 0, 10.2) (0, 40, 0, 20, 0, 0, 20) (0,40, 0, 20, 0, 0, 40) (0, 40, 0, 20, 0, 0, 70.2) (0, 40, 0, 20, 0, 0,100) (0, 40, 0, 20, 10.2, 0, 0) (0, 40, 0, 20, 20, 0, 0) (0, 40, 0, 20,40, 0, 0) (0, 40, 0, 20, 70.2, 0, 0) (0, 40, 0, 20, 100, 0, 0) (0, 40,0, 40, 0, 0, 3.1) (0, 40, 0, 40, 0, 0, 20) (0, 40, 0, 40, 0, 0, 40) (0,40, 0, 40, 0, 0, 70.2) (0, 40, 0, 40, 0, 0, 100) (0, 40, 0, 40, 3.1, 0,0) (0, 40, 0, 40, 20, 0, 0) (0, 40, 0, 40, 40, 0, 0) (0, 40, 0, 40,70.2, 0, 0) (0, 40, 0, 40, 100, 0, 0) (0, 40, 0, 60, 0, 0, 20) (0, 40,0, 60, 0, 0, 40) (0, 40, 0, 60, 0, 0, 70.2) (0, 40, 0, 60, 0, 0, 100)(0, 40, 0, 60, 20, 0, 0) (0, 40, 0, 60, 40, 0, 0) (0, 40, 0, 60, 70.2,0, 0) (0, 40, 0, 60, 100, 0, 0) (0, 40, 0, 80, 0, 0, 40) (0, 40, 0, 80,0, 0, 70.2) (0, 40, 0, 80, 0, 0, 100) (0, 40, 0, 80, 0, 100, 0) (0, 40,0, 80, 40, 0, 0) (0, 40, 0, 80, 70.2, 0, 0) (0, 40, 0, 80, 100, 0, 0)(0, 40, 0, 100, 0, 0, 40) (0, 40, 0, 100, 0, 0, 100) (0, 40, 0, 100, 40,0, 0) (0, 40, 0, 100, 100, 0, 0) (0, 40, 10.2, 0, 100, 0, 0) (0, 40,10.2, 20, 100, 0, 0) (0, 40, 20, 0, 100, 0, 0) (0, 40, 20, 20, 100, 0,0) (0, 40, 20, 40, 100, 0, 0) (0, 40, 20, 60, 100, 0, 0) (0, 40, 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0, 43.5, 0, 0) (0, 54.1, 0, 0, 82, 0, 0) (0, 54.9, 0, 0, 0, 0,10.2) (0, 54.9, 0, 0, 0, 0, 20) (0, 54.9, 0, 0, 0, 0, 30.2) (0, 54.9, 0,0, 0, 0, 40) (0, 54.9, 0, 0, 0, 0, 54.9) (0, 54.9, 0, 0, 0, 0, 70.2) (0,54.9, 0, 0, 0, 0, 85.1) (0, 54.9, 0, 0, 0, 0, 100) (0, 54.9, 0, 0, 10.2,0, 0) (0, 54.9, 0, 0, 20, 0, 0) (0, 54.9, 0, 0, 30.2, 0, 0) (0, 54.9, 0,0, 40, 0, 0) (0, 54.9, 0, 0, 54.9, 0, 0) (0, 54.9, 0, 0, 70.2, 0, 0) (0,54.9, 0, 0, 85.1, 0, 0) (0, 54.9, 0, 0, 100, 0, 0) (0, 54.9, 10.2, 0,100, 0, 0) (0, 54.9, 20, 0, 100, 0, 0) (0, 54.9, 30.2, 0, 100, 0, 0) (0,54.9, 40, 0, 100, 0, 0) (0, 54.9, 54.9, 0, 100, 0, 0) (0, 54.9, 70.2, 0,100, 0, 0) (0, 54.9, 85.1, 0, 100, 0, 0) (0, 54.9, 100, 0, 100, 0, 0)(0, 56.1, 0, 0, 0, 0, 9.8) (0, 56.1, 0, 0, 0, 0, 38) (0, 56.1, 0, 0,93.7, 0, 0) (0, 56.1, 0, 5.1, 0, 0, 42.7) (0, 56.1, 0, 42, 0, 0, 99.6)(0, 59.6, 0, 0, 0, 0, 19.2) (0, 61.6, 0, 0, 0, 0, 19.2) (0, 61.6, 0, 0,0, 0, 56.9) (0, 61.6, 0, 0, 31.4, 0, 0) (0, 61.6, 0, 0, 91.4, 0, 0) (0,63.1, 0, 0, 0, 0, 65.1) (0, 63.1, 0, 0, 67.5, 0, 0) (0, 64.7, 0, 0, 0,0, 65.1) (0, 67.8, 0, 0, 0, 0, 30.6) (0, 67.8, 0, 0, 0, 0, 49.4) (0,67.8, 0, 23.9, 0, 0, 96.5) (0, 69, 0, 0, 36.5, 0, 0) (0, 69, 0, 0, 54.1,0, 0) (0, 69, 0, 0, 84.3, 0, 0) (0, 70.2, 0, 0, 0, 0, 10.2) (0, 70.2, 0,0, 0, 0, 20) (0, 70.2, 0, 0, 0, 0, 30.2) (0, 70.2, 0, 0, 0, 0, 40) (0,70.2, 0, 0, 0, 0, 54.9) (0, 70.2, 0, 0, 0, 0, 70.2) (0, 70.2, 0, 0, 0,0, 85.1) (0, 70.2, 0, 0, 0, 0, 100) (0, 70.2, 0, 0, 0, 40, 0) (0, 70.2,0, 0, 0, 70.2, 0) (0, 70.2, 0, 0, 0, 100, 0) (0, 70.2, 0, 0, 10.2, 0, 0)(0, 70.2, 0, 0, 20, 0, 0) (0, 70.2, 0, 0, 30.2, 0, 0) (0, 70.2, 0, 0,40, 0, 0) (0, 70.2, 0, 0, 54.9, 0, 0) (0, 70.2, 0, 0, 70.2, 0, 0) (0,70.2, 0, 0, 85.1, 0, 0) (0, 70.2, 0, 0, 100, 0, 0) (0, 70.2, 0, 20, 0,0, 10.2) (0, 70.2, 0, 20, 0, 0, 20) (0, 70.2, 0, 20, 0, 0, 40) (0, 70.2,0, 20, 0, 0, 70.2) (0, 70.2, 0, 20, 0, 0, 100) (0, 70.2, 0, 20, 10.2, 0,0) (0, 70.2, 0, 20, 20, 0, 0) (0, 70.2, 0, 20, 40, 0, 0) (0, 70.2, 0,20, 70.2, 0, 0) (0, 70.2, 0, 20, 100, 0, 0) (0, 70.2, 0, 40, 0, 0, 20)(0, 70.2, 0, 40, 0, 0, 40) (0, 70.2, 0, 40, 0, 0, 70.2) (0, 70.2, 0, 40,0, 0, 100) (0, 70.2, 0, 40, 20, 0, 0) (0, 70.2, 0, 40, 40, 0, 0) (0,70.2, 0, 40, 70.2, 0, 0) (0, 70.2, 0, 40, 100, 0, 0) (0, 70.2, 0, 60, 0,0, 20) (0, 70.2, 0, 60, 0, 0, 40) (0, 70.2, 0, 60, 0, 0, 70.2) (0, 70.2,0, 60, 0, 0, 100) (0, 70.2, 0, 60, 0, 100, 0) (0, 70.2, 0, 60, 20, 0, 0)(0, 70.2, 0, 60, 40, 0, 0) (0, 70.2, 0, 60, 70.2, 0, 0) (0, 70.2, 0, 60,100, 0, 0) (0, 70.2, 0, 80, 0, 0, 40) (0, 70.2, 0, 80, 0, 0, 70.2) (0,70.2, 0, 80, 0, 0, 100) (0, 70.2, 0, 80, 0, 70.2, 0) (0, 70.2, 0, 80, 0,100, 0) (0, 70.2, 0, 80, 40, 0, 0) (0, 70.2, 0, 80, 70.2, 0, 0) (0,70.2, 0, 80, 100, 0, 0) (0, 70.2, 10.2, 0, 100, 0, 0) (0, 70.2, 10.2,20, 100, 0, 0) (0, 70.2, 20, 0, 100, 0, 0) (0, 70.2, 20, 20, 100, 0, 0)(0, 70.2, 20, 40, 100, 0, 0) (0, 70.2, 20, 60, 100, 0, 0) (0, 70.2,30.2, 0, 100, 0, 0) (0, 70.2, 40, 0, 100, 0, 0) (0, 70.2, 40, 20, 100,0, 0) (0, 70.2, 40, 40, 100, 0, 0) (0, 70.2, 40, 60, 100, 0, 0) (0,70.2, 40, 80, 100, 0, 0) (0, 70.2, 54.9, 0, 100, 0, 0) (0, 70.2, 70.2,0, 0, 0, 100) (0, 70.2, 70.2, 0, 0, 100, 0) (0, 70.2, 70.2, 0, 100, 0,0) (0, 70.2, 70.2, 20, 100, 0, 0) (0, 70.2, 70.2, 40, 100, 0, 0) (0,70.2, 70.2, 60, 100, 0, 0) (0, 70.2, 70.2, 80, 100, 0, 0) (0, 70.2,85.1, 0, 100, 0, 0) (0, 70.2, 100, 0, 0, 0, 70.2) (0, 70.2, 100, 0, 0,0, 100) (0, 70.2, 100, 0, 0, 70.2, 0) (0, 70.2, 100, 0, 0, 100, 0) (0,70.2, 100, 0, 70.2, 0, 0) (0, 70.2, 100, 0, 100, 0, 0) (0, 70.2, 100,20, 100, 0, 0) (0, 70.2, 100, 40, 100, 0, 0) (0, 70.2, 100, 60, 100, 0,0) (0, 70.2, 100, 80, 0, 0, 100) (0, 70.2, 100, 80, 0, 100, 0) (0, 70.2,100, 80, 100, 0, 0) (0, 73.3, 0, 0, 0, 0, 45.1) (0, 74.5, 0, 0, 0, 0,16.1) (0, 74.5, 0, 0, 54.1, 0, 0) (0, 74.5, 0, 18, 0, 0, 60.4) (0, 75.7,0, 0, 0, 0, 71) (0, 79.2, 0, 0, 41.2, 0, 0) (0, 80, 0, 0, 71.8, 0, 0)(0, 81.2, 0, 0, 0, 0, 58.8) (0, 82, 0, 0, 0, 0, 40.4) (0, 82, 0, 0,52.2, 0, 0) (0, 82, 0, 14.9, 0, 0, 63.9) (0, 82, 0, 23.9, 0, 0, 78) (0,83.1, 0, 0, 0, 0, 25.1) (0, 83.1, 0, 0, 80, 0, 0) (0, 83.1, 0, 29.4, 0,0, 95.3) (0, 83.9, 0, 0, 0, 0, 55.3) (0, 85.1, 0, 0, 0, 0, 10.2) (0,85.1, 0, 0, 0, 0, 20) (0, 85.1, 0, 0, 0, 0, 30.2) (0, 85.1, 0, 0, 0, 0,40) (0, 85.1, 0, 0, 0, 0, 54.9) (0, 85.1, 0, 0, 0, 0, 70.2) (0, 85.1, 0,0, 0, 0, 85.1) (0, 85.1, 0, 0, 0, 0, 100) (0, 85.1, 0, 0, 10.2, 0, 0)(0, 85.1, 0, 0, 20, 0, 0) (0, 85.1, 0, 0, 30.2, 0, 0) (0, 85.1, 0, 0,40, 0, 0) (0, 85.1, 0, 0, 54.9, 0, 0) (0, 85.1, 0, 0, 70.2, 0, 0) (0,85.1, 0, 0, 85.1, 0, 0) (0, 85.1, 0, 0, 100, 0, 0) (0, 85.1, 10.2, 0,100, 0, 0) (0, 85.1, 20, 0, 100, 0, 0) (0, 85.1, 30.2, 0, 100, 0, 0) (0,85.1, 40, 0, 100, 0, 0) (0, 85.1, 54.9, 0, 100, 0, 0) (0, 85.1, 70.2, 0,100, 0, 0) (0, 85.1, 85.1, 0, 100, 0, 0) (0, 85.1, 100, 0, 100, 0, 0)(0, 86.3, 0, 0, 0, 0, 33.3) (0, 87.8, 0, 0, 0, 0, 45.1) (0, 88.6, 0,14.9, 0, 0, 89.8) (0, 91.8, 0, 0, 0, 0, 38) (0, 91.8, 0, 5.1, 0, 0,63.9) (0, 92.5, 0, 0, 0, 0, 30.6) (0, 93.7, 0, 0, 75.3, 0, 0) (0, 93.7,0, 0, 86.7, 0, 0) (0, 96.1, 0, 0, 0, 0, 40.4) (0, 96.1, 0, 0, 70.2, 0,0) (0, 100, 0, 0, 0, 0, 10.2) (0, 100, 0, 0, 0, 0, 20) (0, 100, 0, 0, 0,0, 30.2) (0, 100, 0, 0, 0, 0, 40) (0, 100, 0, 0, 0, 0, 54.9) (0, 100, 0,0, 0, 0, 70.2) (0, 100, 0, 0, 0, 0, 85.1) (0, 100, 0, 0, 0, 0, 100) (0,100, 0, 0, 0, 40, 0) (0, 100, 0, 0, 0, 70.2, 0) (0, 100, 0, 0, 0, 100,0) (0, 100, 0, 0, 10.2, 0, 0) (0, 100, 0, 0, 20, 0, 0) (0, 100, 0, 0,30.2, 0, 0) (0, 100, 0, 0, 40, 0, 0) (0, 100, 0, 0, 54.9, 0, 0) (0, 100,0, 0, 70.2, 0, 0) (0, 100, 0, 0, 85.1, 0, 0) (0, 100, 0, 0, 100, 0, 0)(0, 100, 0, 20, 0, 0, 10.2) (0, 100, 0, 20, 0, 0, 20) (0, 100, 0, 20, 0,0, 40) (0, 100, 0, 20, 0, 0, 70.2) (0, 100, 0, 20, 0, 0, 100) (0, 100,0, 20, 0, 100, 0) (0, 100, 0, 20, 10.2, 0, 0) (0, 100, 0, 20, 20, 0, 0)(0, 100, 0, 20, 40, 0, 0) (0, 100, 0, 20, 70.2, 0, 0) (0, 100, 0, 20,100, 0, 0) (0, 100, 0, 40, 0, 0, 20) (0, 100, 0, 40, 0, 0, 40) (0, 100,0, 40, 0, 0, 70.2) (0, 100, 0, 40, 0, 0, 100) (0, 100, 0, 40, 20, 0, 0)(0, 100, 0, 40, 40, 0, 0) (0, 100, 0, 40, 70.2, 0, 0) (0, 100, 0, 40,100, 0, 0) (0, 100, 0, 60, 0, 0, 20) (0, 100, 0, 60, 0, 0, 40) (0, 100,0, 60, 0, 0, 70.2) (0, 100, 0, 60, 0, 0, 100) (0, 100, 0, 60, 0, 70.2,0) (0, 100, 0, 60, 0, 100, 0) (0, 100, 0, 60, 20, 0, 0) (0, 100, 0, 60,40, 0, 0) (0, 100, 0, 60, 70.2, 0, 0) (0, 100, 0, 60, 100, 0, 0) (0,100, 0, 70.2, 0, 0, 100) (0, 100, 0, 70.2, 100, 0, 0) (0, 100, 0, 80, 0,0, 40) (0, 100, 0, 80, 0, 0, 70.2) (0, 100, 0, 80, 0, 0, 100) (0, 100,0, 80, 0, 40, 0) (0, 100, 0, 80, 0, 70.2, 0) (0, 100, 0, 80, 40, 0, 0)(0, 100, 0, 80, 70.2, 0, 0) (0, 100, 0, 80, 100, 0, 0) (0, 100, 0, 100,0, 0, 40) (0, 100, 0, 100, 0, 0, 100) (0, 100, 0, 100, 0, 100, 0) (0,100, 0, 100, 40, 0, 0) (0, 100, 0, 100, 100, 0, 0) (0, 100, 10.2, 0,100, 0, 0) (0, 100, 10.2, 20, 100, 0, 0) (0, 100, 20, 0, 100, 0, 0) (0,100, 20, 20, 100, 0, 0) (0, 100, 20, 40, 100, 0, 0) (0, 100, 20, 60,100, 0, 0) (0, 100, 30.2, 0, 100, 0, 0) (0, 100, 40, 0, 0, 0, 100) (0,100, 40, 0, 0, 100, 0) (0, 100, 40, 0, 100, 0, 0) (0, 100, 40, 20, 100,0, 0) (0, 100, 40, 40, 100, 0, 0) (0, 100, 40, 60, 100, 0, 0) (0, 100,40, 80, 100, 0, 0) (0, 100, 40, 100, 100, 0, 0) (0, 100, 54.9, 0, 100,0, 0) (0, 100, 70.2, 0, 0, 0, 70.2) (0, 100, 70.2, 0, 0, 0, 100) (0,100, 70.2, 0, 0, 70.2, 0) (0, 100, 70.2, 0, 0, 100, 0) (0, 100, 70.2, 0,70.2, 0, 0) (0, 100, 70.2, 0, 100, 0, 0) (0, 100, 70.2, 20, 100, 0, 0)(0, 100, 70.2, 40, 100, 0, 0) (0, 100, 70.2, 60, 100, 0, 0) (0, 100,70.2, 80, 0, 0, 100) (0, 100, 70.2, 80, 0, 100, 0) (0, 100, 70.2, 80,100, 0, 0) (0, 100, 85.1, 0, 100, 0, 0) (0, 100, 100, 0, 0, 0, 40) (0,100, 100, 0, 0, 0, 70.2) (0, 100, 100, 0, 0, 0, 100) (0, 100, 100, 0, 0,40, 0) (0, 100, 100, 0, 0, 70.2, 0) (0, 100, 100, 0, 0, 100, 0) (0, 100,100, 0, 40, 0, 0) (0, 100, 100, 0, 70.2, 0, 0) (0, 100, 100, 0, 100, 0,0) (0, 100, 100, 20, 100, 0, 0) (0, 100, 100, 40, 100, 0, 0) (0, 100,100, 60, 0, 0, 100) (0, 100, 100, 60, 0, 100, 0) (0, 100, 100, 60, 100,0, 0) (0, 100, 100, 80, 0, 0, 70.2) (0, 100, 100, 80, 0, 70.2, 0) (0,100, 100, 80, 70.2, 0, 0) (0, 100, 100, 80, 100, 0, 0) (0, 100, 100,100, 0, 0, 100) (0, 100, 100, 100, 0, 100, 0) (0, 100, 100, 100, 100, 0,0) (2.7, 0, 0, 0, 0, 67.8, 0) (3.1, 0, 0, 0, 0, 0, 3.1) (3.1, 0, 0, 0,0, 0, 40) (3.1, 0, 0, 0, 0, 3.1, 0) (3.1, 0, 0, 0, 0, 40, 0) (3.1, 0, 0,3.1, 0, 0, 3.1) (3.1, 0, 0, 3.1, 0, 0, 40) (3.1, 0, 0, 3.1, 0, 3.1, 0)(3.1, 0, 0, 3.1, 0, 40, 0) (3.1, 0, 0, 40, 0, 0, 3.1) (3.1, 0, 0, 40, 0,0, 40) (3.1, 0, 0, 40, 0, 3.1, 0) (3.1, 0, 0, 40, 0, 40, 0) (6.3, 0, 0,0, 0, 0, 35.7) (6.3, 0, 9, 0, 0, 89.8, 0) (7.1, 0, 0, 0, 0, 0, 7.1)(7.1, 0, 0, 0, 0, 7.1, 0) (7.1, 0, 0, 7.1, 0, 0, 7.1) (7.1, 0, 0, 7.1,0, 7.1, 0) (10.2, 0, 0, 0, 0, 0, 10.2) (10.2, 0, 0, 0, 0, 0, 20) (10.2,0, 0, 0, 0, 0, 30.2) (10.2, 0, 0, 0, 0, 0, 40) (10.2, 0, 0, 0, 0, 0,54.9) (10.2, 0, 0, 0, 0, 0, 70.2) (10.2, 0, 0, 0, 0, 0, 85.1) (10.2, 0,0, 0, 0, 0, 100) (10.2, 0, 0, 0, 0, 10.2, 0) (10.2, 0, 0, 0, 0, 20, 0)(10.2, 0, 0, 0, 0, 30.2, 0) (10.2, 0, 0, 0, 0, 40, 0) (10.2, 0, 0, 0, 0,54.9, 0) (10.2, 0, 0, 0, 0, 70.2, 0) (10.2, 0, 0, 0, 0, 85.1, 0) (10.2,0, 0, 0, 0, 100, 0) (10.2, 0, 0, 20, 0, 0, 10.2) (10.2, 0, 0, 20, 0, 0,20) (10.2, 0, 0, 20, 0, 0, 40) (10.2, 0, 0, 20, 0, 0, 70.2) (10.2, 0, 0,20, 0, 0, 100) (10.2, 0, 0, 20, 0, 10.2, 0) (10.2, 0, 0, 20, 0, 20, 0)(10.2, 0, 0, 20, 0, 40, 0) (10.2, 0, 0, 20, 0, 70.2, 0) (10.2, 0, 0, 20,0, 100, 0) (10.2, 0, 10.2, 0, 0, 100, 0) (10.2, 0, 10.2, 20, 0, 100, 0)(10.2, 0, 20, 0, 0, 100, 0) (10.2, 0, 20, 20, 0, 100, 0) (10.2, 0, 30.2,0, 0, 100, 0) (10.2, 0, 40, 0, 0, 100, 0) (10.2, 0, 40, 20, 0, 100, 0)(10.2, 0, 54.9, 0, 0, 100, 0) (10.2, 0, 70.2, 0, 0, 100, 0) (10.2, 0,70.2, 20, 0, 100, 0) (10.2, 0, 85.1, 0, 0, 100, 0) (10.2, 0, 100, 0, 0,100, 0) (10.2, 0, 100, 20, 0, 100, 0) (10.2, 10.2, 0, 0, 0, 0, 100)(10.2, 10.2, 0, 20, 0, 0, 100) (10.2, 20, 0, 0, 0, 0, 100) (10.2, 20, 0,20, 0, 0, 100) (10.2, 30.2, 0, 0, 0, 0, 100) (10.2, 40, 0, 0, 0, 0, 100)(10.2, 40, 0, 20, 0, 0, 100) (10.2, 54.9, 0, 0, 0, 0, 100) (10.2, 70.2,0, 0, 0, 0, 100) (10.2, 70.2, 0, 20, 0, 0, 100) (10.2, 85.1, 0, 0, 0, 0,100) (10.2, 100, 0, 0, 0, 0, 100) (10.2, 100, 0, 20, 0, 0, 100) (16.1,0, 0, 0, 0, 0, 38) (16.1, 0, 0, 0, 0, 20.8, 0) (16.1, 0, 0, 0, 0, 85.9,0) (16.1, 0, 0, 5.1, 0, 0, 27.8) (16.1, 0, 0, 5.1, 0, 0, 76.9) (16.1, 0,0, 14.9, 0, 50.2, 0) (19.2, 0, 0, 0, 0, 14.1, 0) (19.2, 0, 0, 0, 0,23.5, 0) (20, 0, 0, 0, 0, 0, 10.2) (20, 0, 0, 0, 0, 0, 20) (20, 0, 0, 0,0, 0, 30.2) (20, 0, 0, 0, 0, 0, 40) (20, 0, 0, 0, 0, 0, 54.9) (20, 0, 0,0, 0, 0, 70.2) (20, 0, 0, 0, 0, 0, 85.1) (20, 0, 0, 0, 0, 0, 100) (20,0, 0, 0, 0, 10.2, 0) (20, 0, 0, 0, 0, 20, 0) (20, 0, 0, 0, 0, 30.2, 0)(20, 0, 0, 0, 0, 40, 0) (20, 0, 0, 0, 0, 54.9, 0) (20, 0, 0, 0, 0, 70.2,0) (20, 0, 0, 0, 0, 85.1, 0) (20, 0, 0, 0, 0, 100, 0) (20, 0, 0, 20, 0,0, 10.2) (20, 0, 0, 20, 0, 0, 20) (20, 0, 0, 20, 0, 0, 40) (20, 0, 0,20, 0, 0, 70.2) (20, 0, 0, 20, 0, 0, 100) (20, 0, 0, 20, 0, 10.2, 0)(20, 0, 0, 20, 0, 20, 0) (20, 0, 0, 20, 0, 40, 0) (20, 0, 0, 20, 0,70.2, 0) (20, 0, 0, 20, 0, 100, 0) (20, 0, 0, 40, 0, 0, 20) (20, 0, 0,40, 0, 0, 40) (20, 0, 0, 40, 0, 0, 70.2) (20, 0, 0, 40, 0, 0, 100) (20,0, 0, 40, 0, 20, 0) (20, 0, 0, 40, 0, 40, 0) (20, 0, 0, 40, 0, 70.2, 0)(20, 0, 0, 40, 0, 100, 0) (20, 0, 0, 60, 0, 0, 20) (20, 0, 0, 60, 0, 0,40) (20, 0, 0, 60, 0, 0, 70.2) (20, 0, 0, 60, 0, 0, 100) (20, 0, 0, 60,0, 20, 0) (20, 0, 0, 60, 0, 40, 0) (20, 0, 0, 60, 0, 70.2, 0) (20, 0, 0,60, 0, 100, 0) (20, 0, 10.2, 0, 0, 100, 0) (20, 0, 10.2, 20, 0, 100, 0)(20, 0, 20, 0, 0, 100, 0) (20, 0, 20, 20, 0, 100, 0) (20, 0, 20, 40, 0,100, 0) (20, 0, 20, 60, 0, 100, 0) (20, 0, 30.2, 0, 0, 100, 0) (20, 0,40, 0, 0, 100, 0) (20, 0, 40, 20, 0, 100, 0) (20, 0, 40, 40, 0, 100, 0)(20, 0, 40, 60, 0, 100, 0) (20, 0, 54.9, 0, 0, 100, 0) (20, 0, 70.2, 0,0, 100, 0) (20, 0, 70.2, 20, 0, 100, 0) (20, 0, 70.2, 40, 0, 100, 0)(20, 0, 70.2, 60, 0, 100, 0) (20, 0, 85.1, 0, 0, 100, 0) (20, 0, 100, 0,0, 100, 0) (20, 0, 100, 20, 0, 100, 0) (20, 0, 100, 40, 0, 100, 0) (20,0, 100, 60, 0, 100, 0) (20, 10.2, 0, 0, 0, 0, 100) (20, 10.2, 0, 20, 0,0, 100) (20, 20, 0, 0, 0, 0, 100) (20, 20, 0, 20, 0, 0, 100) (20, 20, 0,40, 0, 0, 100) (20, 20, 0, 60, 0, 0, 100) (20, 30.2, 0, 0, 0, 0, 100)(20, 40, 0, 0, 0, 0, 100) (20, 40, 0, 20, 0, 0, 100) (20, 40, 0, 40, 0,0, 100) (20, 40, 0, 60, 0, 0, 100) (20, 54.9, 0, 0, 0, 0, 100) (20,70.2, 0, 0, 0, 0, 100) (20, 70.2, 0, 20, 0, 0, 100) (20, 70.2, 0, 40, 0,0, 100) (20, 70.2, 0, 60, 0, 0, 100) (20, 85.1, 0, 0, 0, 0, 100) (20,100, 0, 0, 0, 0, 100) (20, 100, 0, 20, 0, 0, 100) (20, 100, 0, 40, 0, 0,100) (20, 100, 0, 60, 0, 0, 100) (22.4, 0, 0, 0, 0, 35.3, 0) (25.1, 0,0, 5.1, 0, 0, 33.3) (28.2, 0, 0, 0, 0, 17.3, 0) (30.2, 0, 0, 0, 0, 0,10.2) (30.2, 0, 0, 0, 0, 0, 20) (30.2, 0, 0, 0, 0, 0, 30.2) (30.2, 0, 0,0, 0, 0, 40) (30.2, 0, 0, 0, 0, 0, 54.9) (30.2, 0, 0, 0, 0, 0, 70.2)(30.2, 0, 0, 0, 0, 0, 85.1) (30.2, 0, 0, 0, 0, 0, 100) (30.2, 0, 0, 0,0, 10.2, 0) (30.2, 0, 0, 0, 0, 20, 0) (30.2, 0, 0, 0, 0, 30.2, 0) (30.2,0, 0, 0, 0, 40, 0) (30.2, 0, 0, 0, 0, 54.9, 0) (30.2, 0, 0, 0, 0, 70.2,0) (30.2, 0, 0, 0, 0, 85.1, 0) (30.2, 0, 0, 0, 0, 100, 0) (30.2, 0,10.2, 0, 0, 100, 0) (30.2, 0, 20, 0, 0, 100, 0) (30.2, 0, 30.2, 0, 0,100, 0) (30.2, 0, 40, 0, 0, 100, 0) (30.2, 0, 54.9, 0, 0, 100, 0) (30.2,0, 70.2, 0, 0, 100, 0) (30.2, 0, 85.1, 0, 0, 100, 0) (30.2, 0, 100, 0,0, 100, 0) (30.2, 10.2, 0, 0, 0, 0, 100) (30.2, 20, 0, 0, 0, 0, 100)(30.2, 30.2, 0, 0, 0, 0, 100) (30.2, 40, 0, 0, 0, 0, 100) (30.2, 54.9,0, 0, 0, 0, 100) (30.2, 70.2, 0, 0, 0, 0, 100) (30.2, 85.1, 0, 0, 0, 0,100) (30.2, 100, 0, 0, 0, 0, 100) (31, 0, 0, 5.1, 0, 26.7, 0) (31, 0, 0,8.2, 0, 0, 62) (33.3, 0, 0, 0, 0, 26.7, 0) (33.3, 0, 0, 0, 0, 42.7, 0)(33.3, 0, 0, 8.2, 0, 37.6, 0) (36.1, 0, 0, 0, 0, 17.3, 0) (36.1, 0, 0,5.1, 0, 0, 47.1) (38.4, 0, 0, 0, 0, 26.7, 0) (38.4, 0, 0, 0, 0, 35.3, 0)(38.4, 0, 0, 0, 0, 74.1, 0) (38.4, 0, 0, 21.2, 0, 87.8, 0) (40, 0, 0, 0,0, 0, 3.1) (40, 0, 0, 0, 0, 0, 10.2) (40, 0, 0, 0, 0, 0, 20) (40, 0, 0,0, 0, 0, 30.2) (40, 0, 0, 0, 0, 0, 40) (40, 0, 0, 0, 0, 0, 54.9) (40, 0,0, 0, 0, 0, 70.2) (40, 0, 0, 0, 0, 0, 85.1) (40, 0, 0, 0, 0, 0, 100)(40, 0, 0, 0, 0, 3.1, 0) (40, 0, 0, 0, 0, 10.2, 0) (40, 0, 0, 0, 0, 20,0) (40, 0, 0, 0, 0, 30.2, 0) (40, 0, 0, 0, 0, 40, 0) (40, 0, 0, 0, 0,54.9, 0) (40, 0, 0, 0, 0, 70.2, 0) (40, 0, 0, 0, 0, 85.1, 0) (40, 0, 0,0, 0, 100, 0) (40, 0, 0, 0, 70.2, 0, 0) (40, 0, 0, 0, 100, 0, 0) (40, 0,0, 3.1, 0, 0, 3.1) (40, 0, 0, 3.1, 0, 0, 40) (40, 0, 0, 3.1, 0, 3.1, 0)(40, 0, 0, 3.1, 0, 40, 0) (40, 0, 0, 20, 0, 0, 10.2) (40, 0, 0, 20, 0,0, 20) (40, 0, 0, 20, 0, 0, 40) (40, 0, 0, 20, 0, 0, 70.2) (40, 0, 0,20, 0, 0, 100) (40, 0, 0, 20, 0, 10.2, 0) (40, 0, 0, 20, 0, 20, 0) (40,0, 0, 20, 0, 40, 0) (40, 0, 0, 20, 0, 70.2, 0) (40, 0, 0, 20, 0, 100, 0)(40, 0, 0, 40, 0, 0, 3.1) (40, 0, 0, 40, 0, 0, 20) (40, 0, 0, 40, 0, 0,40) (40, 0, 0, 40, 0, 0, 70.2) (40, 0, 0, 40, 0, 0, 100) (40, 0, 0, 40,0, 3.1, 0) (40, 0, 0, 40, 0, 20, 0) (40, 0, 0, 40, 0, 40, 0) (40, 0, 0,40, 0, 70.2, 0) (40, 0, 0, 40, 0, 100, 0) (40, 0, 0, 60, 0, 0, 20) (40,0, 0, 60, 0, 0, 40) (40, 0, 0, 60, 0, 0, 70.2) (40, 0, 0, 60, 0, 0, 100)(40, 0, 0, 60, 0, 20, 0) (40, 0, 0, 60, 0, 40, 0) (40, 0, 0, 60, 0,70.2, 0) (40, 0, 0, 60, 0, 100, 0) (40, 0, 0, 80, 0, 0, 40) (40, 0, 0,80, 0, 0, 70.2) (40, 0, 0, 80, 0, 0, 100) (40, 0, 0, 80, 0, 40, 0) (40,0, 0, 80, 0, 70.2, 0) (40, 0, 0, 80, 0, 100, 0) (40, 0, 0, 80, 100, 0,0) (40, 0, 0, 100, 0, 0, 40) (40, 0, 0, 100, 0, 0, 100) (40, 0, 0, 100,0, 40, 0) (40, 0, 0, 100, 0, 100, 0) (40, 0, 10.2, 0, 0, 100, 0) (40, 0,10.2, 20, 0, 100, 0) (40, 0, 20, 0, 0, 100, 0) (40, 0, 20, 20, 0, 100,0) (40, 0, 20, 40, 0, 100, 0) (40, 0, 20, 60, 0, 100, 0) (40, 0, 30.2,0, 0, 100, 0) (40, 0, 40, 0, 0, 100, 0) (40, 0, 40, 20, 0, 100, 0) (40,0, 40, 40, 0, 100, 0) (40, 0, 40, 60, 0, 100, 0) (40, 0, 40, 80, 0, 100,0) (40, 0, 40, 100, 0, 100, 0) (40, 0, 54.9, 0, 0, 100, 0) (40, 0, 70.2,0, 0, 100, 0) (40, 0, 70.2, 20, 0, 100, 0) (40, 0, 70.2, 40, 0, 100, 0)(40, 0, 70.2, 60, 0, 100, 0) (40, 0, 70.2, 80, 0, 100, 0) (40, 0, 85.1,0, 0, 100, 0) (40, 0, 100, 0, 0, 0, 100) (40, 0, 100, 0, 0, 100, 0) (40,0, 100, 0, 100, 0, 0) (40, 0, 100, 20, 0, 100, 0) (40, 0, 100, 40, 0,100, 0) (40, 0, 100, 60, 0, 100, 0) (40, 0, 100, 80, 0, 100, 0) (40, 0,100, 100, 0, 100, 0) (40, 10.2, 0, 0, 0, 0, 100) (40, 10.2, 0, 20, 0, 0,100) (40, 20, 0, 0, 0, 0, 100) (40, 20, 0, 20, 0, 0, 100) (40, 20, 0,40, 0, 0, 100) (40, 20, 0, 60, 0, 0, 100) (40, 30.2, 0, 0, 0, 0, 100)(40, 40, 0, 0, 0, 0, 100) (40, 40, 0, 20, 0, 0, 100) (40, 40, 0, 40, 0,0, 100) (40, 40, 0, 60, 0, 0, 100) (40, 40, 0, 80, 0, 0, 100) (40, 40,0, 100, 0, 0, 100) (40, 54.9, 0, 0, 0, 0, 100) (40, 70.2, 0, 0, 0, 0,100) (40, 70.2, 0, 20, 0, 0, 100) (40, 70.2, 0, 40, 0, 0, 100) (40,70.2, 0, 60, 0, 0, 100) (40, 70.2, 0, 80, 0, 0, 100) (40, 85.1, 0, 0, 0,0, 100) (40, 100, 0, 0, 0, 0, 100) (40, 100, 0, 0, 0, 100, 0) (40, 100,0, 0, 100, 0, 0) (40, 100, 0, 20, 0, 0, 100) (40, 100, 0, 40, 0, 0, 100)(40, 100, 0, 60, 0, 0, 100) (40, 100, 0, 80, 0, 0, 100) (40, 100, 0,100, 0, 0, 100) (43.1, 0, 0, 0, 0, 0, 40.4) (43.1, 0, 0, 8.2, 0, 35.3,0) (45.5, 0, 0, 0, 0, 26.7, 0) (45.5, 0, 0, 21.2, 0, 87.8, 0) (45.5, 0,0, 48.6, 0, 0, 96.5) (47.8, 0, 0, 0, 0, 32.5, 0) (47.8, 0, 0, 0, 0,35.3, 0) (49.8, 0, 0, 8.2, 0, 42.7, 0) (51.8, 0, 0, 0, 0, 60.4, 0)(51.8, 0, 0, 74.5, 0, 0, 96.9) (54.1, 0, 0, 0, 0, 23.5, 0) (54.9, 0, 0,0, 0, 0, 10.2) (54.9, 0, 0, 0, 0, 0, 20) (54.9, 0, 0, 0, 0, 0, 30.2)(54.9, 0, 0, 0, 0, 0, 40) (54.9, 0, 0, 0, 0, 0, 54.9) (54.9, 0, 0, 0, 0,0, 70.2) (54.9, 0, 0, 0, 0, 0, 85.1) (54.9, 0, 0, 0, 0, 0, 100) (54.9,0, 0, 0, 0, 10.2, 0) (54.9, 0, 0, 0, 0, 20, 0) (54.9, 0, 0, 0, 0, 30.2,0) (54.9, 0, 0, 0, 0, 40, 0) (54.9, 0, 0, 0, 0, 54.9, 0) (54.9, 0, 0, 0,0, 70.2, 0) (54.9, 0, 0, 0, 0, 85.1, 0) (54.9, 0, 0, 0, 0, 100, 0)(54.9, 0, 10.2, 0, 0, 100, 0) (54.9, 0, 20, 0, 0, 100, 0) (54.9, 0,30.2, 0, 0, 100, 0) (54.9, 0, 40, 0, 0, 100, 0) (54.9, 0, 54.9, 0, 0,100, 0) (54.9, 0, 70.2, 0, 0, 100, 0) (54.9, 0, 85.1, 0, 0, 100, 0)(54.9, 0, 100, 0, 0, 100, 0) (54.9, 10.2, 0, 0, 0, 0, 100) (54.9, 20, 0,0, 0, 0, 100) (54.9, 30.2, 0, 0, 0, 0, 100) (54.9, 40, 0, 0, 0, 0, 100)(54.9, 54.9, 0, 0, 0, 0, 100) (54.9, 70.2, 0, 0, 0, 0, 100) (54.9, 85.1,0, 0, 0, 0, 100) (54.9, 100, 0, 0, 0, 0, 100) (55.7, 0, 0, 85.9, 0, 0,94.5) (57.6, 0, 0, 14.9, 0, 56.5, 0) (59.6, 0, 0, 54.5, 0, 0, 97.6)(61.2, 0, 0, 0, 0, 45.5, 0) (61.2, 0, 0, 14.9, 0, 0, 78.8) (62.7, 0, 0,0, 0, 17.3, 0) (62.7, 0, 0, 8.2, 0, 56.5, 0) (62.7, 0, 0, 64.7, 0, 0,98.8) (64.7, 0, 0, 0, 0, 23.5, 0) (64.7, 0, 0, 0, 0, 74.1, 0) (66.3, 0,0, 5.1, 0, 0, 51.4) (67.8, 0, 0, 0, 0, 42.7, 0) (67.8, 0, 0, 14.9, 0,54.5, 0) (69, 0, 0, 8.2, 0, 42.7, 0) (69, 0, 0, 46.3, 0, 0, 99.6) (70.2,0, 0, 0, 0, 0, 10.2) (70.2, 0, 0, 0, 0, 0, 20) (70.2, 0, 0, 0, 0, 0,30.2) (70.2, 0, 0, 0, 0, 0, 40) (70.2, 0, 0, 0, 0, 0, 54.9) (70.2, 0, 0,0, 0, 0, 70.2) (70.2, 0, 0, 0, 0, 0, 85.1) (70.2, 0, 0, 0, 0, 0, 100)(70.2, 0, 0, 0, 0, 10.2, 0) (70.2, 0, 0, 0, 0, 20, 0) (70.2, 0, 0, 0, 0,30.2, 0) (70.2, 0, 0, 0, 0, 40, 0) (70.2, 0, 0, 0, 0, 54.9, 0) (70.2, 0,0, 0, 0, 70.2, 0) (70.2, 0, 0, 0, 0, 85.1, 0) (70.2, 0, 0, 0, 0, 100, 0)(70.2, 0, 0, 0, 40, 0, 0) (70.2, 0, 0, 0, 70.2, 0, 0) (70.2, 0, 0, 0,100, 0, 0) (70.2, 0, 0, 20, 0, 0, 10.2) (70.2, 0, 0, 20, 0, 0, 20)(70.2, 0, 0, 20, 0, 0, 40) (70.2, 0, 0, 20, 0, 0, 70.2) (70.2, 0, 0, 20,0, 0, 100) (70.2, 0, 0, 20, 0, 10.2, 0) (70.2, 0, 0, 20, 0, 20, 0)(70.2, 0, 0, 20, 0, 40, 0) (70.2, 0, 0, 20, 0, 70.2, 0) (70.2, 0, 0, 20,0, 100, 0) (70.2, 0, 0, 40, 0, 0, 20) (70.2, 0, 0, 40, 0, 0, 40) (70.2,0, 0, 40, 0, 0, 70.2) (70.2, 0, 0, 40, 0, 0, 100) (70.2, 0, 0, 40, 0,20, 0) (70.2, 0, 0, 40, 0, 40, 0) (70.2, 0, 0, 40, 0, 70.2, 0) (70.2, 0,0, 40, 0, 100, 0) (70.2, 0, 0, 60, 0, 0, 20) (70.2, 0, 0, 60, 0, 0, 40)(70.2, 0, 0, 60, 0, 0, 70.2) (70.2, 0, 0, 60, 0, 0, 100) (70.2, 0, 0,60, 0, 20, 0) (70.2, 0, 0, 60, 0, 40, 0) (70.2, 0, 0, 60, 0, 70.2, 0)(70.2, 0, 0, 60, 0, 100, 0) (70.2, 0, 0, 60, 100, 0, 0) (70.2, 0, 0, 80,0, 0, 40) (70.2, 0, 0, 80, 0, 0, 70.2) (70.2, 0, 0, 80, 0, 0, 100)(70.2, 0, 0, 80, 0, 40, 0) (70.2, 0, 0, 80, 0, 70.2, 0) (70.2, 0, 0, 80,0, 100, 0) (70.2, 0, 0, 80, 70.2, 0, 0) (70.2, 0, 0, 80, 100, 0, 0)(70.2, 0, 10.2, 0, 0, 100, 0) (70.2, 0, 10.2, 20, 0, 100, 0) (70.2, 0,20, 0, 0, 100, 0) (70.2, 0, 20, 20, 0, 100, 0) (70.2, 0, 20, 40, 0, 100,0) (70.2, 0, 20, 60, 0, 100, 0) (70.2, 0, 30.2, 0, 0, 100, 0) (70.2, 0,40, 0, 0, 100, 0) (70.2, 0, 40, 20, 0, 100, 0) (70.2, 0, 40, 40, 0, 100,0) (70.2, 0, 40, 60, 0, 100, 0) (70.2, 0, 40, 80, 0, 100, 0) (70.2, 0,54.9, 0, 0, 100, 0) (70.2, 0, 70.2, 0, 0, 0, 100) (70.2, 0, 70.2, 0, 0,100, 0) (70.2, 0, 70.2, 0, 100, 0, 0) (70.2, 0, 70.2, 20, 0, 100, 0)(70.2, 0, 70.2, 40, 0, 100, 0) (70.2, 0, 70.2, 60, 0, 100, 0) (70.2, 0,70.2, 80, 0, 100, 0) (70.2, 0, 85.1, 0, 0, 100, 0) (70.2, 0, 100, 0, 0,0, 70.2) (70.2, 0, 100, 0, 0, 0, 100) (70.2, 0, 100, 0, 0, 70.2, 0)(70.2, 0, 100, 0, 0, 100, 0) (70.2, 0, 100, 0, 70.2, 0, 0) (70.2, 0,100, 0, 100, 0, 0) (70.2, 0, 100, 20, 0, 100, 0) (70.2, 0, 100, 40, 0,100, 0) (70.2, 0, 100, 60, 0, 100, 0) (70.2, 0, 100, 80, 0, 0, 100)(70.2, 0, 100, 80, 0, 100, 0) (70.2, 0, 100, 80, 100, 0, 0) (70.2, 10.2,0, 0, 0, 0, 100) (70.2, 10.2, 0, 20, 0, 0, 100) (70.2, 20, 0, 0, 0, 0,100) (70.2, 20, 0, 20, 0, 0, 100) (70.2, 20, 0, 40, 0, 0, 100) (70.2,20, 0, 60, 0, 0, 100) (70.2, 30.2, 0, 0, 0, 0, 100) (70.2, 40, 0, 0, 0,0, 100) (70.2, 40, 0, 20, 0, 0, 100) (70.2, 40, 0, 40, 0, 0, 100) (70.2,40, 0, 60, 0, 0, 100) (70.2, 40, 0, 80, 0, 0, 100) (70.2, 54.9, 0, 0, 0,0, 100) (70.2, 70.2, 0, 0, 0, 0, 100) (70.2, 70.2, 0, 0, 0, 100, 0)(70.2, 70.2, 0, 0, 100, 0, 0) (70.2, 70.2, 0, 20, 0, 0, 100) (70.2,70.2, 0, 40, 0, 0, 100) (70.2, 70.2, 0, 60, 0, 0, 100) (70.2, 70.2, 0,80, 0, 0, 100) (70.2, 85.1, 0, 0, 0, 0, 100) (70.2, 100, 0, 0, 0, 0,70.2) (70.2, 100, 0, 0, 0, 0, 100) (70.2, 100, 0, 0, 0, 70.2, 0) (70.2,100, 0, 0, 0, 100, 0) (70.2, 100, 0, 0, 70.2, 0, 0) (70.2, 100, 0, 0,100, 0, 0) (70.2, 100, 0, 20, 0, 0, 100) (70.2, 100, 0, 40, 0, 0, 100)(70.2, 100, 0, 60, 0, 0, 100) (70.2, 100, 0, 80, 0, 0, 100) (70.2, 100,0, 80, 0, 100, 0) (70.2, 100, 0, 80, 100, 0, 0) (70.2, 100, 100, 0, 0,0, 100) (70.2, 100, 100, 0, 0, 100, 0) (70.2, 100, 100, 0, 100, 0, 0)(70.6, 0, 0, 61.6, 0, 0, 99.2) (73.3, 0, 0, 87.1, 0, 0, 92.2) (74.5, 0,0, 0, 0, 0, 35.7) (74.5, 0, 0, 0, 0, 54.5, 0) (74.5, 0, 0, 34.9, 0, 0,97.3) (78, 0, 0, 21.2, 0, 74.1, 0) (78, 0, 0, 63.1, 0, 0, 98) (79.2, 0,0, 0, 0, 65.9, 0) (80.4, 0, 0, 0, 0, 29.8, 0) (80.4, 0, 0, 21.2, 0,64.3, 0) (82.4, 0, 0, 0, 0, 40.4, 0) (82.4, 0, 0, 14.9, 0, 69.4, 0)(83.9, 0, 0, 0, 0, 23.5, 0) (85.1, 0, 0, 0, 0, 0, 10.2) (85.1, 0, 0, 0,0, 0, 20) (85.1, 0, 0, 0, 0, 0, 30.2) (85.1, 0, 0, 0, 0, 0, 40) (85.1,0, 0, 0, 0, 0, 54.9) (85.1, 0, 0, 0, 0, 0, 70.2) (85.1, 0, 0, 0, 0, 0,85.1) (85.1, 0, 0, 0, 0, 0, 100) (85.1, 0, 0, 0, 0, 10.2, 0) (85.1, 0,0, 0, 0, 20, 0) (85.1, 0, 0, 0, 0, 30.2, 0) (85.1, 0, 0, 0, 0, 40, 0)(85.1, 0, 0, 0, 0, 54.9, 0) (85.1, 0, 0, 0, 0, 70.2, 0) (85.1, 0, 0, 0,0, 85.1, 0) (85.1, 0, 0, 0, 0, 100, 0) (85.1, 0, 10.2, 0, 0, 100, 0)(85.1, 0, 20, 0, 0, 100, 0) (85.1, 0, 30.2, 0, 0, 100, 0) (85.1, 0, 40,0, 0, 100, 0) (85.1, 0, 54.9, 0, 0, 100, 0) (85.1, 0, 70.2, 0, 0, 100,0) (85.1, 0, 85.1, 0, 0, 100, 0) (85.1, 0, 100, 0, 0, 100, 0) (85.1,10.2, 0, 0, 0, 0, 100) (85.1, 20, 0, 0, 0, 0, 100) (85.1, 30.2, 0, 0, 0,0, 100) (85.1, 40, 0, 0, 0, 0, 100) (85.1, 54.9, 0, 0, 0, 0, 100) (85.1,70.2, 0, 0, 0, 0, 100) (85.1, 85.1, 0, 0, 0, 0, 100) (85.1, 100, 0, 0,0, 0, 100) (87.5, 0, 0, 0, 0, 58.4, 0) (88.2, 0, 0, 64.7, 0, 0, 94.5)(88.2, 0, 0, 77.6, 0, 0, 92.2) (88.6, 0, 0, 26.7, 0, 0, 94.9) (90.2, 0,0, 0, 0, 45.5, 0) (91.4, 0, 0, 21.2, 0, 0, 87.1) (92.5, 0, 0, 0, 0,47.8, 0) (92.5, 0, 0, 44.3, 0, 0, 87.1) (94.1, 0, 0, 23.9, 0, 65.9, 0)(96.1, 0, 0, 18, 0, 52.2, 0) (96.5, 0, 0, 5.1, 0, 0, 55.3) (96.9, 0, 0,0, 0, 40.4, 0) (97.3, 0, 0, 0, 0, 32.5, 0) (97.3, 0, 0, 18, 0, 0, 80.8)(98.4, 0, 0, 50.6, 0, 0, 82.7) (99.2, 0, 0, 21.2, 0, 37.6, 0) (99.6, 0,0, 0, 0, 23.5, 0) (100, 0, 0, 0, 0, 0, 10.2) (100, 0, 0, 0, 0, 0, 20)(100, 0, 0, 0, 0, 0, 30.2) (100, 0, 0, 0, 0, 0, 40) (100, 0, 0, 0, 0, 0,54.9) (100, 0, 0, 0, 0, 0, 70.2) (100, 0, 0, 0, 0, 0, 85.1) (100, 0, 0,0, 0, 0, 100) (100, 0, 0, 0, 0, 10.2, 0) (100, 0, 0, 0, 0, 20, 0) (100,0, 0, 0, 0, 30.2, 0) (100, 0, 0, 0, 0, 40, 0) (100, 0, 0, 0, 0, 54.9, 0)(100, 0, 0, 0, 0, 70.2, 0) (100, 0, 0, 0, 0, 85.1, 0) (100, 0, 0, 0, 0,100, 0) (100, 0, 0, 0, 40, 0, 0) (100, 0, 0, 0, 70.2, 0, 0) (100, 0, 0,0, 100, 0, 0) (100, 0, 0, 20, 0, 0, 10.2) (100, 0, 0, 20, 0, 0, 20)(100, 0, 0, 20, 0, 0, 40) (100, 0, 0, 20, 0, 0, 70.2) (100, 0, 0, 20, 0,0, 100) (100, 0, 0, 20, 0, 10.2, 0) (100, 0, 0, 20, 0, 20, 0) (100, 0,0, 20, 0, 40, 0) (100, 0, 0, 20, 0, 70.2, 0) (100, 0, 0, 20, 0, 100, 0)(100, 0, 0, 20, 100, 0, 0) (100, 0, 0, 40, 0, 0, 20) (100, 0, 0, 40, 0,0, 40) (100, 0, 0, 40, 0, 0, 70.2) (100, 0, 0, 40, 0, 0, 100) (100, 0,0, 40, 0, 20, 0) (100, 0, 0, 40, 0, 40, 0) (100, 0, 0, 40, 0, 70.2, 0)(100, 0, 0, 40, 0, 100, 0) (100, 0, 0, 60, 0, 0, 20) (100, 0, 0, 60, 0,0, 40) (100, 0, 0, 60, 0, 0, 70.2) (100, 0, 0, 60, 0, 0, 100) (100, 0,0, 60, 0, 20, 0) (100, 0, 0, 60, 0, 40, 0) (100, 0, 0, 60, 0, 70.2, 0)(100, 0, 0, 60, 0, 100, 0) (100, 0, 0, 60, 70.2, 0, 0) (100, 0, 0, 60,100, 0, 0) (100, 0, 0, 70.2, 0, 0, 100) (100, 0, 0, 70.2, 0, 100, 0)(100, 0, 0, 80, 0, 0, 40) (100, 0, 0, 80, 0, 0, 70.2) (100, 0, 0, 80, 0,0, 100) (100, 0, 0, 80, 0, 40, 0) (100, 0, 0, 80, 0, 70.2, 0) (100, 0,0, 80, 0, 100, 0) (100, 0, 0, 80, 40, 0, 0) (100, 0, 0, 80, 70.2, 0, 0)(100, 0, 0, 100, 0, 0, 40) (100, 0, 0, 100, 0, 0, 100) (100, 0, 0, 100,0, 40, 0) (100, 0, 0, 100, 0, 100, 0) (100, 0, 0, 100, 100, 0, 0) (100,0, 10.2, 0, 0, 100, 0) (100, 0, 10.2, 20, 0, 100, 0) (100, 0, 20, 0, 0,100, 0) (100, 0, 20, 20, 0, 100, 0) (100, 0, 20, 40, 0, 100, 0) (100, 0,20, 60, 0, 100, 0) (100, 0, 30.2, 0, 0, 100, 0) (100, 0, 40, 0, 0, 0,100) (100, 0, 40, 0, 0, 100, 0) (100, 0, 40, 0, 100, 0, 0) (100, 0, 40,20, 0, 100, 0) (100, 0, 40, 40, 0, 100, 0) (100, 0, 40, 60, 0, 100, 0)(100, 0, 40, 80, 0, 100, 0) (100, 0, 40, 100, 0, 100, 0) (100, 0, 54.9,0, 0, 100, 0) (100, 0, 70.2, 0, 0, 0, 70.2) (100, 0, 70.2, 0, 0, 0, 100)(100, 0, 70.2, 0, 0, 70.2, 0) (100, 0, 70.2, 0, 0, 100, 0) (100, 0,70.2, 0, 70.2, 0, 0) (100, 0, 70.2, 0, 100, 0, 0) (100, 0, 70.2, 20, 0,100, 0) (100, 0, 70.2, 40, 0, 100, 0) (100, 0, 70.2, 60, 0, 100, 0)(100, 0, 70.2, 80, 0, 0, 100) (100, 0, 70.2, 80, 0, 100, 0) (100, 0,70.2, 80, 100, 0, 0) (100, 0, 85.1, 0, 0, 100, 0) (100, 0, 100, 0, 0, 0,40) (100, 0, 100, 0, 0, 0, 70.2) (100, 0, 100, 0, 0, 0, 100) (100, 0,100, 0, 0, 40, 0) (100, 0, 100, 0, 0, 70.2, 0) (100, 0, 100, 0, 0, 100,0) (100, 0, 100, 0, 40, 0, 0) (100, 0, 100, 0, 70.2, 0, 0) (100, 0, 100,0, 100, 0, 0) (100, 0, 100, 20, 0, 100, 0) (100, 0, 100, 40, 0, 100, 0)(100, 0, 100, 60, 0, 0, 100) (100, 0, 100, 60, 0, 100, 0) (100, 0, 100,60, 100, 0, 0) (100, 0, 100, 80, 0, 0, 70.2) (100, 0, 100, 80, 0, 70.2,0) (100, 0, 100, 80, 0, 100, 0) (100, 0, 100, 80, 70.2, 0, 0) (100, 0,100, 100, 0, 0, 100) (100, 0, 100, 100, 0, 100, 0) (100, 0, 100, 100,100, 0, 0) (100, 10.2, 0, 0, 0, 0, 100) (100, 10.2, 0, 20, 0, 0, 100)(100, 20, 0, 0, 0, 0, 100) (100, 20, 0, 20, 0, 0, 100) (100, 20, 0, 40,0, 0, 100) (100, 20, 0, 60, 0, 0, 100) (100, 30.2, 0, 0, 0, 0, 100)(100, 40, 0, 0, 0, 0, 100) (100, 40, 0, 0, 0, 100, 0) (100, 40, 0, 0,100, 0, 0) (100, 40, 0, 20, 0, 0, 100) (100, 40, 0, 40, 0, 0, 100) (100,40, 0, 60, 0, 0, 100) (100, 40, 0, 80, 0, 0, 100) (100, 40, 0, 100, 0,0, 100) (100, 54.9, 0, 0, 0, 0, 100) (100, 70.2, 0, 0, 0, 0, 70.2) (100,70.2, 0, 0, 0, 0, 100) (100, 70.2, 0, 0, 0, 70.2, 0) (100, 70.2, 0, 0,0, 100, 0) (100, 70.2, 0, 0, 70.2, 0, 0) (100, 70.2, 0, 0, 100, 0, 0)(100, 70.2, 0, 20, 0, 0, 100) (100, 70.2, 0, 40, 0, 0, 100) (100, 70.2,0, 60, 0, 0, 100) (100, 70.2, 0, 80, 0, 0, 100) (100, 70.2, 0, 80, 0,100, 0) (100, 70.2, 0, 80, 100, 0, 0) (100, 70.2, 100, 0, 0, 0, 100)(100, 70.2, 100, 0, 0, 100, 0) (100, 70.2, 100, 0, 100, 0, 0) (100,85.1, 0, 0, 0, 0, 100) (100, 100, 0, 0, 0, 0, 40) (100, 100, 0, 0, 0, 0,70.2) (100, 100, 0, 0, 0, 0, 100) (100, 100, 0, 0, 0, 40, 0) (100, 100,0, 0, 0, 70.2, 0) (100, 100, 0, 0, 0, 100, 0) (100, 100, 0, 0, 40, 0, 0)(100, 100, 0, 0, 70.2, 0, 0) (100, 100, 0, 0, 100, 0, 0) (100, 100, 0,20, 0, 0, 100) (100, 100, 0, 40, 0, 0, 100) (100, 100, 0, 60, 0, 0, 100)(100, 100, 0, 60, 0, 100, 0) (100, 100, 0, 60, 100, 0, 0) (100, 100, 0,80, 0, 0, 70.2) (100, 100, 0, 80, 0, 0, 100) (100, 100, 0, 80, 0, 70.2,0) (100, 100, 0, 80, 70.2, 0, 0) (100, 100, 0, 100, 0, 0, 100) (100,100, 0, 100, 0, 100, 0) (100, 100, 0, 100, 100, 0, 0) (100, 100, 70.2,0, 0, 0, 100) (100, 100, 70.2, 0, 0, 100, 0) (100, 100, 70.2, 0, 100, 0,0) (100, 100, 100, 0, 0, 0, 70.2) (100, 100, 100, 0, 0, 0, 100) (100,100, 100, 0, 0, 70.2, 0) (100, 100, 100, 0, 0, 100, 0) (100, 100, 100,0, 70.2, 0, 0) (100, 100, 100, 0, 100, 0, 0) (100, 100, 100, 100, 0, 0,100) (100, 100, 100, 100, 0, 100, 0) (100, 100, 100, 100, 100, 0, 0)

Embodiments of the present invention may comprise any medium whichcarries a set of computer-readable signals comprising instructionswhich, when executed by a computer processor, cause the computerprocessor to execute a method of the invention. Embodiments may be inany of a wide variety of forms. Embodiments may comprise, for example,physical media such as magnetic storage media including floppydiskettes, hard disk drives, optical data storage media including CDROMs, DVDs, electronic data storage media including ROMs, flash RAM, orthe like or transmission-type media such as digital or analogcommunication links. The instructions may optionally be compressedand/or encrypted on the medium.

The invention has been described in detail with particular reference tocertain preferred embodiments thereof, but it will be understood thatvariations and modifications can be effected within the scope of theinvention.

PARTS LIST

-   -   100 test chart    -   101 test chart organization    -   102 test chart    -   200 apparatus    -   201 printer    -   202 controller    -   203 test chart generator    -   204 color measurement device    -   205 color model generator    -   210 test chart data    -   211 printed test chart    -   212 color coordinates    -   213 target colors    -   214 color model    -   215 target color recipes    -   301 test chart form    -   302 test chart form    -   303 test chart form    -   304 test chart form

1. An apparatus for creating colorant combination recipes for targetcolors for a printer configured with a plurality of process colorantsdefining a colorant space for the printer, the apparatus comprising: acolor measurement device operative to identify device-independent colorcoordinates for printed test patches; a color model generator operativeto generate a color model for the printer in one iteration based oncolorant combination and color coordinate pairs; a controller operativeto: obtain a set of target colors to be printed wherein a target coloris associated with a target color coordinate defined in adevice-independent color space; obtain test chart data including firstand second sets of test patches to be reproduced by the printer; whereina test patch specifies a combination of colorant tints for the printer;wherein the first set of test patches are selected to provide a firstdegree of color characterization accuracy and are distributed throughoutsubstantially all of the printer colorant space; and wherein the secondset of patches are intended to provide a second degree of colorcharacterization accuracy and are distributed in selected areas of theprinter colorant space; operate the printer to produce a printed testchart from the test chart data; direct the measurement device to measurecolor coordinates from test patches of the printed test chart; initiategeneration of a color model based on the measured colors and the testchart data; and create colorant combination recipes for the set oftarget colors based on target color coordinates and the color model. 2.The apparatus according to claim 1 wherein the selected areas of theprinter colorant space correspond to areas with a nonlinear colorresponse.
 3. The apparatus according to claim 1 wherein the second setof test patches produce colors in the vicinity of at least some of theset of target colors.
 4. The apparatus according to claim 1 wherein theplurality of process colorants consists of chromatic colorants (CMY) andblack (K).
 5. The apparatus according to claim 4 wherein almost all ofthe second set of test patches comprise colorant combinations with atmost two chromatic colorants having non-zero values.
 6. The apparatusaccording to claim 1 wherein the plurality of colorants include morethan three chromatic colorants.
 7. The apparatus according to claim 6wherein almost all of the second set of test patches comprise colorantcombinations with at most three chromatic colorants having non-zerovalues.
 8. The apparatus according to claim 1 wherein the color modelhas sufficient flexibility to accurately predict both the first andsecond sets of measured colors.
 9. The apparatus according to claim 1wherein the color model comprises a plurality of local color submodelscombined to form a single color model for the entire colorant space. 10.The apparatus according to claim 9 wherein adjacent submodels areadapted to reduce discontinuity in predicted color at boundaries betweensubmodels.
 11. The apparatus according to claim 9 wherein at least someof the submodels incorporate nonlinear modeling techniques.
 12. Theapparatus according to claim 10 wherein the nonlinear modeling techniquecomprises a multi-dimensional spline technique.
 13. Acomputer-accessible storage medium for storing test chart data forcharacterizing a printer configured with a plurality of processcolorants, the test chart data comprising: a first and second set oftest patches, wherein a test patch specifies a combination of coloranttints for the printer; wherein the first set of test patches areselected to provide a first degree of color characterization accuracyand are distributed throughout substantially all of the printer colorantspace; and wherein the second set of patches are intended to provide asecond degree of color characterization accuracy and are distributed inselected areas of the printer colorant space.
 14. An apparatus forcreating colorant combination recipes for target colors for a printerconfigured with a plurality of process colorants, the apparatuscomprising: a color measurement device operative to identifydevice-independent color coordinates for printed test patches; a colormodel generator operative to generate a color model for the printer inone iteration based on colorant combination and color coordinate pairs;a controller operative to: obtain a set of target colors to be printedwherein a target color is associated with a target color coordinatedefined in a device-independent color space; obtain test chart dataincluding test patches to be reproduced by the printer; and wherein atest patch specifies a combination of colorant tints for the printer;wherein the distribution of test patches in colorant space comprise: asparser distribution in areas of colorant space wherein the colorantcombinations produce colors that are not close to any of the targetcolors, or wherein the colorant combinations are of a nature undesirablefor use as a color recipe, or wherein the color response is linear orweakly non-linear; and a denser distribution in areas of colorant spacewherein the colorant combinations produce a color that is close to atleast one of the target colors, and wherein the colorant combinationsare of a nature desirable for use as a color recipe, and wherein thecolor response is markedly non-linear; operate the printer to produce aprinted test chart from the test chart data; measure color coordinatesfrom test patches of the printed test chart; initiate generation of acolor model based on the measured colors and the test chart data; andcreate colorant combination recipes for the set of target colors basedon target color coordinates and the color model.